CN106570028A - Mobile terminal, fuzzy image deletion method and fuzzy picture deletion device - Google Patents
Mobile terminal, fuzzy image deletion method and fuzzy picture deletion device Download PDFInfo
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Abstract
The invention discloses a fuzzy image deletion method and a fuzzy picture deletion device, wherein the method comprises the steps of acquiring a plurality of original pictures and converting the plurality of original pictures to a plurality of gray scale pictures; respectively performing definition calculation the plurality of gray scale pictures, and obtaining a plurality of definition values which correspond with the plurality of original pictures; and acquiring fuzzy pictures in the plurality of original pictures according to the plurality of definition values, and deleting the fuzzy pictures. The method provided by an embodiment of the invention has advantages of realizing automatic and quick fuzzy picture deletion, simplifying user operation, easily determining fuzzy degree of the photographed pictures through a definition evaluation algorithm, facilitating quick selection of a picture with relatively high quality in a set of similar pictures by a user, and improving user experience. The invention further discloses a mobile terminal.
Description
Technical field
The present invention relates to technical field of mobile terminals, and in particular to the delet method and device of a kind of mobile terminal and broad image.
Background technology
With the multiformity of application program in the fast-developing and mobile terminal of mobile terminal technology so that mobile terminal is
Become requisite instrument in people's life, also, due to the carrying convenience of mobile terminal, increasing user makes
Autodyned with the camera function in mobile terminal or continuous shooting.When user is completed using mobile terminal (such as smart mobile phone)
After one group of continuous shooting, because the image that a variety of causes such as hand shaking may result in shooting is relatively obscured.
In correlation technique, for the broad image in one group of continuous shooting image, user is typically by the camera or picture library of mobile terminal
The entrance of application program checks captured image, then, judges whether these images obscure by human eye, if it is, with
These broad images are deleted one by one again at family, or all broad images are chosen one by one, another and delete.
But, the problem that presently, there are is：Image is checked one by one above by user, delete or choose one by one conduct one by one
Image to be deleted, is required to the multiple manual operation of user, not only troublesome but also time-consuming, especially for the use for having selection phobia
Family, allows it to make trade-offs in one group of image of same type, is the extremely difficult and painful thing of part, poor user experience.
The content of the invention
The purpose of the present invention is intended at least to solve to a certain extent one of technical problem in correlation technique.For this purpose, of the invention
First purpose be to propose a kind of delet method of broad image.The method achieve and rapidly delete broad image automatically
Purpose, simplify user operation, and the fog-level of shot image can be easily distinguished by definition evaluation algorithms, side
User quickly preferably go out the higher picture of quality in one group of similar image, improve Consumer's Experience.
Second object of the present invention is the deletion device for proposing a kind of broad image.
Third object of the present invention is to propose a kind of mobile terminal.
To reach above-mentioned purpose, first aspect present invention embodiment proposes a kind of delet method of broad image, including following
Step：Multiple original images are obtained, and described multiple original images are converted to into multiple gray level images；Respectively to it is described multiple
Gray level image carries out sharpness computation, obtains multiple definition values corresponding with described multiple original images；And according to described
Multiple definition values obtain the broad image in described multiple original images, and delete the broad image.
The delet method of broad image according to embodiments of the present invention, can first obtain multiple original images, and by these original graph
As being converted to gray level image, afterwards, respectively sharpness computation can be carried out to these gray level images, obtain its corresponding definition
Value, finally, according to these definition values the broad image in these original images is obtained, and is deleted, i.e., by clear
Degree evaluation algorithms distinguish the definition of multiple images automatically, and according to the definition values of every image judging to meet fuzzy standard
Image, these images for meeting fuzzy standard can be automatically deleted afterwards, on the one hand, realize rapidly delete automatically it is fuzzy
The purpose of image, simplifies user operation, on the other hand, by definition evaluation algorithms shot image can be easily distinguished
Fog-level, facilitates user and quickly preferably goes out the higher picture of quality in one group of similar image, improves Consumer's Experience.
To reach above-mentioned purpose, second aspect present invention embodiment proposes a kind of deletion device of broad image, including：It is former
Beginning image collection module, for obtaining multiple original images；Greyscale image transitions module, for by described multiple original images
Be converted to multiple gray level images；Sharpness computation module, for described multiple gray level images carrying out sharpness computation respectively,
Obtain multiple definition values corresponding with described multiple original images；Broad image acquisition module, for according to the plurality of clear
Clear angle value obtains the broad image in described multiple original images；And removing module, for deleting the broad image.
The deletion device of broad image according to embodiments of the present invention, can obtain multiple original graph by original image acquisition module
These original images are converted to gray level image by picture, greyscale image transitions module, and sharpness computation module is respectively to these gray scales
Image carries out sharpness computation, obtains its corresponding definition values, and broad image acquisition module is obtained according to these definition values
Broad image in these original images, removing module deletes these broad images, i.e., distinguished automatically by definition evaluation algorithms
The not other definition of multiple images, and according to the definition values of every image judging to meet the image of fuzzy standard, can afterwards from
It is dynamic to delete these images for meeting fuzzy standard, on the one hand, to realize the purpose for rapidly deleting broad image automatically, simplify
User operation, on the other hand, by definition evaluation algorithms can easily distinguish the fog-level of shot image, facilitate
User quickly preferably goes out the higher picture of quality in one group of similar image, improves Consumer's Experience.
To reach above-mentioned purpose, third aspect present invention embodiment proposes a kind of mobile terminal, including second aspect present invention
The deletion device of the broad image described in embodiment.
Mobile terminal according to embodiments of the present invention, can obtain multiple original by the original image acquisition module in deletion device
These original images are converted to gray level image by image, greyscale image transitions module, and sharpness computation module is respectively to these ashes
Degree image carries out sharpness computation, obtains its corresponding definition values, and broad image acquisition module is obtained according to these definition values
The broad image in these original images is taken, removing module deletes these broad images, i.e., automatic by definition evaluation algorithms
Distinguish the definition of multiple images, and according to the definition values of every image judging to meet the image of fuzzy standard, Zhi Houke
It is automatically deleted these images for meeting fuzzy standard, on the one hand, realize the purpose for rapidly deleting broad image automatically, letter
Change user operation, on the other hand, by definition evaluation algorithms the fog-level of shot image can have easily been distinguished, it is convenient
User quickly preferably goes out the higher picture of quality in one group of similar image, improves Consumer's Experience.
The additional aspect of the present invention and advantage will be set forth in part in the description, and partly will from the following description become bright
It is aobvious, or recognized by the practice of the present invention.
Description of the drawings
The above-mentioned and/or additional aspect of the present invention and advantage will be apparent from from the following description of the accompanying drawings of embodiments
With it is easy to understand, wherein,
Fig. 1 is the flow chart of the delet method of broad image according to an embodiment of the invention；
Fig. 2 is the schematic diagram in the Gradient algorithm picks image edge region based on edge according to an embodiment of the invention；
Fig. 3 is the schematic diagram of the dot matrix of Gradient algorithms selection marginal area according to an embodiment of the invention；
Fig. 4 is the flow chart of the delet method of broad image according to another embodiment of the invention；
Fig. 5 is the schematic diagram that the inlet porting of deletion broad image switch according to an embodiment of the invention arranges path；
Fig. 6 is the schematic diagram that the inlet porting for deleting broad image switch according to another embodiment of the invention arranges path；
Fig. 7 is that the upper interface of mobile terminal according to an embodiment of the invention reminds user to arrange the signal of inquiry session frame
Figure；
Fig. 8 is the structured flowchart of the deletion device of broad image according to an embodiment of the invention；
Fig. 9 is the structured flowchart of the deletion device of broad image in accordance with another embodiment of the present invention；
Figure 10 is the structured flowchart of the deletion device of the broad image according to another embodiment of the invention；
Figure 11 is the overall procedure for being automatically deleted image function realization of the mobile terminal according to a specific embodiment of the invention
Figure；And
Figure 12 is the schematic diagram of the preferred wait prompting frame of upper interface intelligence of mobile terminal according to an embodiment of the invention.
Specific embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein identical from start to finish
Or similar label represents same or similar element or the element with same or like function.Retouch below with reference to accompanying drawing
The embodiment stated is exemplary, it is intended to for explaining the present invention, and be not considered as limiting the invention.
Below with reference to the accompanying drawings the mobile terminal of the embodiment of the present invention and the delet method of broad image and device are described.
Fig. 1 is the flow chart of the delet method of broad image according to an embodiment of the invention.
As shown in figure 1, the delet method of the broad image includes：
S101, obtains multiple original images, and multiple original images are converted to into multiple gray level images.
Wherein, in an embodiment of the present invention, multiple original images can be passed through for user using mobile terminals such as smart mobile phones
Continuous shooting or the one group of image for photographing, such as can be one group of images for same scenery, things or personage.
It is appreciated that the image photographed by mobile terminal is generally coloured image.
Specifically, after the continuous shooting function or Self-timer that are provided by mobile terminal complete one group of shooting image, or
When detecting user and being opened by the picture library application program in mobile terminal and check one group of continuous shooting image or one group of auto heterodyne image,
The original image of these images can be obtained, these original images can be converted to by corresponding gray level image by greyscale transformation afterwards.
It is appreciated that in an embodiment of the present invention, original image is converted to into gray level image can facilitate successive image clear
The calculating of degree, this is because the object in various sharpness evaluation functions is all the gray value of image.Wherein, the present invention's
In embodiment, for RGB models, original image can be converted into by corresponding gray level image by below equation (1)：
Wherein, H is the gray value of gray level image, and R (Red), G (Green), B (Blue) are represented respectively in original image
The color value of three passages of red, green, blue.
Multiple gray level images are carried out sharpness computation by S102 respectively, obtain multiple definitions corresponding with multiple original images
Value.
Specifically, respectively sharpness computation can be carried out to every gray level image by definition evaluation algorithms corresponding clear to obtain
Clear angle value.Wherein, in an embodiment of the present invention, definition evaluation algorithms may include but be not limited to contrast method (i.e. gray scale
Calculus of finite differences), based on the Gradient algorithm at edge, gradation of image entropy function etc..
Below will be respectively by taking contrast method (i.e. gray scale difference point-score), the Gradient algorithm based on edge as an example in the present embodiment
It is described in detail for the calculating process of image definition.
For example, by taking contrast method (i.e. gray scale difference point-score) as an example, in an embodiment of the present invention, respectively to multiple ashes
Degree image carries out sharpness computation, and obtaining the process that implements of the corresponding definition values of multiple original images may include following step
Suddenly：For every gray level image, the gray value of each pixel in every gray level image can be obtained, and according to default right
The corresponding contrast evaluation of estimate of every gray level image is calculated than the gray value of degree evaluation model and each pixel, and by contrast
Definition values of the evaluation of estimate as every original image.Wherein, in an embodiment of the present invention, above-mentioned default contrast is commented
Valency model (i.e. contrast evaluation function) can be such as following formula (2)：
Wherein, E be contrast evaluation of estimate, m for gray level image total pixel number, Hn+1For (n+1)th pixel
Gray value, Hn-1For the gray value of (n-1)th pixel.
That is, the gray value of each pixel in every gray level image can be obtained first, these gray values can be substituted into afterwards
To above-mentioned formula (2), the corresponding contrast evaluation of estimate of every gray level image is calculated, finally the contrast evaluation of estimate can be made
For the definition values of correspondence original image.
Wherein it is possible to understand, because the taken image of correct focusing is picture rich in detail, the image taken by out of focus is
Broad image, so (image is mould by the image (image is picture rich in detail) and out-of-focus image of the correct focusing of analysis
Paste image), there is following rule：When correct focusing, the corresponding contrast of the image for photographing is most strong, more deviates this correct
The corresponding position of focusing, the corresponding contrast of the image for photographing is lower.Therefore, based on above-mentioned rule, from above-mentioned formula
(2) as can be seen that contrast evaluation of estimate E is maximum on correct focusing position, the defocused position before Jiao will be with defocusing amount
Increase and reduce, if defocus offset is especially big, contrast evaluation of estimate E tends to 0.
And for example, by taking the Gradient algorithm based on edge as an example, in an embodiment of the present invention, respectively to multiple gray level images
Sharpness computation is carried out, obtaining the process that implements of the corresponding definition values of multiple original images may include following steps：Pin
To every gray level image, multiple marginal areas are selected in every gray level image based on the Gradient algorithm at edge；At each
Selected pixels dot matrix in marginal area, and pixel-matrix is calculated according to Laplace operator, obtain each marginal area
Definition values, and calculate the definition values of every original image according to the definition values of each marginal area.
Wherein, it is a kind of second derivative operator that above-mentioned Laplace operator is appreciated that, for example, for continuous function f (x, y),
Laplacian values Δ of the continuous function at coordinate (x, y) place2F can be defined as follows shown in the formula of stating (3)：
In order to more suitable for Digital Image Processing, Laplace operator can also be expressed as the form of template, as shown in Table 1 below.
Wherein, the basic demand of template should be able to be positive for the coefficient of correspondence center pixel, and correspondence center pixel adjacent pixels is
Number should be it is negative, and these coefficients and should be zero.
The Laplace operator template of table 1
| -1 | -1 | -1 |
| -1 | 8 | -1 |
| -1 | -1 | -1 |
By above-mentioned Laplace operator template and with reference to the discrete form of Laplace operator, can be by the meter of Laplace operator
Fortran is calculated into such as following formula (4) Suo Shi：
E'=8H (x, y)-H (x-1, y-1)-H (x-1, y)-H (x-1, y+1)-H (x, y-1) (4)
-H(x,y+1)-H(x+1,y-1)-H(x+1,y)-H(x+1,y+1)
Wherein, E ' is Laplace operator, the alternatively referred to as evaluation points in image-region；H (x, y) is pixel (x, y)
Gray value.Above-mentioned formula (4) in a dark region if it is understood that occur in that a bright spot in the picture, then can
Using this bright spot as center, and a nine grids are drawn centered on the bright spot, and it is corresponding to calculate the nine grids difference
The gray value of pixel, then can be calculated according to the gray value of pixel in coefficients and nine grids shown in table 1
Obtain the evaluation points of above-mentioned formula (4).It is appreciated that for a width broad image, the gray value near each pixel becomes
Change is little, then evaluation points E ' is little；For picture rich in detail, the clean cut of image, evaluation points E ' is then to maximum.
Additionally, for entire image, the definition values of the image can be calculated by following formula (5)：
Wherein, F is the definition values of the image, and M, N are respectively the maximums of the image pixel abscissa and vertical coordinate,
M*N always counts for pixel, E'xyFor the evaluation points at pixel (x, y) place.
For example, for every gray level image, the Gradient algorithm that can be based on edge selects many in every gray level image
Individual marginal area, for example, as shown in Fig. 2 can select in every image 4 marginal areas, i.e. respectively A1, A2,
A3, A4, can choose respectively afterwards 50*50 pixel-matrixs (as shown in Figure 3), then, according to upper in each marginal area
State Laplce's template and formula (4) is calculated the pixel-matrix, calculate and meet the multiple of above-mentioned Laplce's template
Multiple evaluation points of nine grids pixel-matrix, afterwards, can by these evaluation points by above-mentioned formula (5) carry out it is squared and
And be averaging, the definition values of the 50*50 pixel-matrixs are obtained, it is obtained the 4 of every image by this calculating process
Individual marginal area definition values F1、F2、F3、F4, then, the 4 of every image marginal area definition values can be entered
Row summation, obtains the overall sharpness value of every image.
S103, according to multiple definition values the broad image in multiple original images is obtained, and deletes broad image.
Specifically, in one embodiment of the invention, obtain fuzzy in multiple original images according to multiple definition values
The process that implements of image can be as follows：Can will be calculated multiple definition values carries out size comparison, definition values maximum
Original image is preferred image, and remaining original image is broad image.That is, can will be clear in these original images
The maximum image of clear angle value elects preferred image as, and remaining image then elects broad image as.
In another embodiment of the present invention, the tool of the broad image in multiple original images is obtained according to multiple definition values
Body realizes that process can be as follows：Judge whether multiple definition values are less than predetermined threshold value one by one, if less than predetermined threshold value, then will
Definition values elect broad image as less than the original image of predetermined threshold value.Preferably, in an embodiment of the present invention, if greatly
In or equal to above-mentioned predetermined threshold value, then elect definition values as preferred image more than or equal to the original image of predetermined threshold value.
That is, the corresponding definition values of every original image can be carried out size with predetermined threshold value and be compared, and definition values are less than
The original image of predetermined threshold value elects broad image as, is otherwise preferred image.Wherein, in an embodiment of the present invention, it is above-mentioned
Predetermined threshold value can, beforehand through empirical value obtained from lot of experiments, can also be that user is self-defining according to their needs.
After original image to be entered line definition evaluation to obtain broad image, these broad images are deleted.Wherein it is possible to
Understand, while broad image is deleted, also the space for storing these broad images can be discharged.Thus, it is capable of achieving
It is automatically deleted the purpose of broad image.
The delet method of broad image according to embodiments of the present invention, can first obtain multiple original images, and by these original graph
As being converted to gray level image, afterwards, respectively sharpness computation can be carried out to these gray level images, obtain its corresponding definition
Value, finally, according to these definition values the broad image in these original images is obtained, and is deleted, i.e., by clear
Degree evaluation algorithms distinguish the definition of multiple images automatically, and according to the definition values of every image judging to meet fuzzy standard
Image, these images for meeting fuzzy standard can be automatically deleted afterwards, on the one hand, realize rapidly delete automatically it is fuzzy
The purpose of image, simplifies user operation, on the other hand, by definition evaluation algorithms shot image can be easily distinguished
Fog-level, facilitates user and quickly preferably goes out the higher picture of quality in one group of similar image, improves Consumer's Experience.
Preferably, in one embodiment of the invention, as shown in figure 4, on the basis of shown in Fig. 1, that is, deleting mould
After paste image, the delet method of the broad image may also include：
S404, by preferred image user is supplied to.
For example, after broad image is deleted, remaining preferred image in original image can be collected in one and is shown in interface,
And show user to check so as to user.
Thus, select without the need for user or screen and can directly obtain the optimum image of definition in same group of image, and cause
User's more intuitive understanding improves the visual experience of user to preferred image.
In order to lift Consumer's Experience so that user can decide whether what broad image was automatically deleted according to oneself demand
Function.Alternatively, in one embodiment of the invention, before multiple original images are obtained, the deletion of the broad image
Method may also include：The inlet porting for deleting broad image switch is provided, wherein, the inlet porting can be used for receive user pin
Operation to deleting broad image switch input.
For example, it is assumed that the delet method of the broad image of the embodiment of the present invention is applied in mobile terminal, can be in the terminal
The inlet porting for deleting broad image switch is provided on the interface of finding a view of camera application program, as shown in figure 5, user can click on
The settings button icon enters the inlet porting of deletion broad image switch, and can by slide or click on etc. operation changes should
Delete the state of broad image switch.
And for example, it is assumed that the delet method of the broad image of the embodiment of the present invention is applied in mobile terminal, as shown in fig. 6, can
The inlet porting for deleting broad image switch is provided in the submenu under camera application program in " setting " of mobile terminal,
User can pass through the state that the deletion broad image switch is changed in the operation such as slip or click.
Due to user may be not turned on delete broad image functional switch, therefore, in order to realize broad image from
It is dynamic to delete, can first detect whether the functional switch has turned on.Alternatively, in an embodiment of the present invention, multiple originals are being obtained
Before beginning image, the delet method of the broad image may also include：Whether the state of detection deletion broad image switch is in is opened
State is opened, if it is not, then the state for deleting broad image switch is replaced by into opening；If so, multiple original graph are then obtained
Picture.That is, can first detect whether user has been switched on deleting the switch of broad image, if opening, can obtain and wait to locate
The original image of reason；If not opening, prompting inquiry frame can be ejected, as shown in fig. 7, to remind whether user will open
Delete broad image switch, if detect user selection be "Yes", inlet porting as shown in Figure 6 can be called for
Family is specifically arranged；If detect user's selection is "No", into manual deletion action pattern.
In order to realize above-described embodiment, the invention allows for a kind of deletion device of broad image.
Fig. 8 is the structured flowchart of the deletion device of broad image according to an embodiment of the invention.
As shown in figure 8, the deletion device of the broad image includes：Original image acquisition module 10, greyscale image transitions module
20th, sharpness computation module 30, broad image acquisition module 40 and removing module 50.
Specifically, original image acquisition module 10 is used to obtain multiple original images.Greyscale image transitions module 20 is used for will
Multiple original images are converted to multiple gray level images.
Wherein, in an embodiment of the present invention, multiple original images can be passed through for user using mobile terminals such as smart mobile phones
Continuous shooting or the one group of image for photographing, such as can be one group of images for same scenery, things or personage.
It is appreciated that the image photographed by mobile terminal is generally coloured image.
More specifically, after the continuous shooting function or Self-timer that are provided by mobile terminal complete one group of shooting image, or
Person is detected user and one group of continuous shooting image or one group of auto heterodyne image is opened and checked by the picture library application program in mobile terminal
When, original image acquisition module 10 can obtain the original image of these images, and greyscale image transitions module 20 can be former by these
Beginning image is converted to corresponding gray level image.
It is appreciated that in an embodiment of the present invention, original image is converted to gray level image by greyscale image transitions module 20 can
To facilitate the calculating of successive image definition, this is because the object in various sharpness evaluation functions is all the gray value of image.
Wherein, in an embodiment of the present invention, for RGB models, greyscale image transitions module 20 can pass through below equation (1)
Original image is converted into into corresponding gray level image：
Wherein, H is the gray value of gray level image, and R (Red), G (Green), B (Blue) are represented respectively in original image
The color value of three passages of red, green, blue.
Sharpness computation module 30 is used to carry out sharpness computation to multiple gray level images respectively, obtains multiple and multiple original graph
As corresponding definition values.
More specifically, sharpness computation module 30 can enter line definition to every gray level image respectively by definition evaluation algorithms
Calculate to obtain corresponding definition values.Wherein, in an embodiment of the present invention, definition evaluation algorithms may include but not limit
In contrast method (i.e. gray scale difference point-score), based on the Gradient algorithm at edge, gradation of image entropy function etc..
Below will be respectively by taking contrast method (i.e. gray scale difference point-score), the Gradient algorithm based on edge as an example in the present embodiment
It is described in detail for the calculating process of image definition.
For example, by taking contrast method (i.e. gray scale difference point-score) as an example, in an embodiment of the present invention, sharpness computation mould
Block 30 carries out sharpness computation to multiple gray level images respectively, obtains implementing for the corresponding definition values of multiple original images
Process can be as follows：For every gray level image, the gray value of each pixel in every gray level image can be obtained, and according to
The gray value of default contrast evaluation model and each pixel calculates the corresponding contrast evaluation of estimate of every gray level image, and
Using contrast evaluation of estimate as every original image definition values.Wherein, in an embodiment of the present invention, it is above-mentioned default
Contrast evaluation model (i.e. contrast evaluation function) can be such as following formula (2)：
Wherein, E be contrast evaluation of estimate, m for gray level image total pixel number, Hn+1For (n+1)th pixel
Gray value, Hn-1For the gray value of (n-1)th pixel.
That is, sharpness computation module 30 can first obtain the gray value of each pixel in every gray level image, Zhi Houke
These gray values are updated to into above-mentioned formula (2), the corresponding contrast evaluation of estimate of every gray level image is calculated, finally can be by
Definition values of the contrast evaluation of estimate as correspondence original image.
Wherein it is possible to understand, because the taken image of correct focusing is picture rich in detail, the image taken by out of focus is
Broad image, so (image is mould by the image (image is picture rich in detail) and out-of-focus image of the correct focusing of analysis
Paste image), there is following rule：When correct focusing, the corresponding contrast of the image for photographing is most strong, more deviates this correct
The corresponding position of focusing, the corresponding contrast of the image for photographing is lower.Therefore, based on above-mentioned rule, from above-mentioned formula
(2) as can be seen that contrast evaluation of estimate E is maximum on correct focusing position, the defocused position before Jiao will be with defocusing amount
Increase and reduce, if defocus offset is especially big, contrast evaluation of estimate E tends to 0.
And for example, by taking the Gradient algorithm based on edge as an example, in an embodiment of the present invention, 30 points of sharpness computation module
Other to carry out sharpness computation to multiple gray level images, the process that implements for obtaining the corresponding definition values of multiple original images can
It is as follows：For every gray level image, multiple marginal areas are selected in every gray level image based on the Gradient algorithm at edge；
The selected pixels dot matrix in each marginal area, and pixel-matrix is calculated according to Laplace operator, obtain each side
The definition values in edge region, and calculate the definition values of every original image according to the definition values of each marginal area.
Wherein, it is a kind of second derivative operator that above-mentioned Laplace operator is appreciated that, for example, for continuous function f (x, y),
Laplacian values Δ of the continuous function at coordinate (x, y) place2F can be defined as follows shown in the formula of stating (3)：
In order to more suitable for Digital Image Processing, Laplace operator can also be expressed as the form of template, as shown in Table 1 below.
Wherein, the basic demand of template be the coefficient of correspondence center pixel should be positive, and the coefficient of correspondence center pixel adjacent pixels
Should be it is negative, and these coefficients and should be zero.
The Laplace operator template of table 1
| -1 | -1 | -1 |
| -1 | 8 | -1 |
| -1 | -1 | -1 |
By above-mentioned Laplace operator template and with reference to the discrete form of Laplace operator, can be by the meter of Laplace operator
Fortran is calculated into such as following formula (4) Suo Shi：
E'=8H (x, y)-H (x-1, y-1)-H (x-1, y)-H (x-1, y+1)-H (x, y-1) (4)
-H(x,y+1)-H(x+1,y-1)-H(x+1,y)-H(x+1,y+1)
Wherein, E ' is Laplace operator, the alternatively referred to as evaluation points in image-region；H (x, y) is pixel (x, y)
Gray value.Above-mentioned formula (4) in a dark region if it is understood that occur in that a bright spot in the picture, then can
Using this bright spot as center, and a nine grids are drawn centered on the bright spot, and it is corresponding to calculate the nine grids difference
The gray value of pixel, then can be calculated according to the gray value of pixel in coefficients and nine grids shown in table 1
Obtain the evaluation points of above-mentioned formula (4).It is appreciated that for a width broad image, the gray value near each pixel becomes
Change is little, then evaluation points E ' is little；For picture rich in detail, the clean cut of image, evaluation points E ' is then to maximum.
Additionally, for entire image, the definition values of the image can be calculated by following formula (5)：
Wherein, F is the definition values of the image, and M, N are respectively the maximums of the image pixel abscissa and vertical coordinate,
M*N always counts for pixel, E'xyFor the evaluation points at pixel (x, y) place.
For example, sharpness computation module 30 be directed to every gray level image, can be based on edge Gradient algorithm per
Multiple marginal areas are selected in gray level image, for example, as shown in Fig. 24 marginal areas can be selected in every image,
A1, A2, A3, A4 are respectively, 50*50 pixel-matrixs can be chosen in each marginal area respectively afterwards (such as Fig. 3 institutes
Show), then, the pixel-matrix is calculated according to above-mentioned Laplce's template and formula (4), calculate and meet above-mentioned
Multiple evaluation points of multiple nine grids pixel-matrixs of Laplce's template, afterwards, can be by these evaluation points by above-mentioned
Formula (5) carry out it is squared and and be averaging, obtain the definition values of the 50*50 pixel-matrixs, be by this calculating process
4 marginal area definition values F of every image are obtained1、F2、F3、F4, then, can be by the 4 of every image
Marginal area definition values are sued for peace, and obtain the overall sharpness value of every image.
Broad image acquisition module 40 is used to obtain the broad image in multiple original images according to multiple definition values.
Specifically, in one embodiment of the invention, broad image acquisition module 40 obtains many according to multiple definition values
The process that implements for opening the broad image in original image can be as follows：Calculated multiple definition values can be carried out size
Compare, the maximum original image of definition values is preferred image, remaining original image is broad image.That is, mould
Paste image collection module 40 can elect the maximum image of the definition values in these original images as preferred image, remaining image
Then elect broad image as.
In another embodiment of the present invention, broad image acquisition module 40 obtains multiple original graph according to multiple definition values
The process that implements of the broad image as in can be as follows：Multiple definition values are judged one by one whether less than predetermined threshold value, if
Less than predetermined threshold value, then definition values are elected as broad image less than the original image of predetermined threshold value.Preferably, in the present invention
Embodiment in, if greater than or equal to above-mentioned predetermined threshold value, then by definition values more than or equal to predetermined threshold value original graph
As electing preferred image as.That is, broad image acquisition module 40 can by the corresponding definition values of every original image with it is pre-
If threshold value carries out size comparison, and elects definition values as broad image less than the original image of predetermined threshold value, otherwise for preferred
Image.Wherein, in an embodiment of the present invention, above-mentioned predetermined threshold value can be beforehand through experience obtained from lot of experiments
Value, can also be that user is self-defining according to their needs.
Removing module 50 is used to delete broad image.More specifically, original image is carried out in broad image acquisition module 40
After definition evaluation is to obtain broad image, removing module 50 can delete these broad images.Wherein it is possible to understand, delete
Except module 50 is while broad image is deleted, also the space for storing these broad images can be discharged.Thus, can be real
Now it is automatically deleted the purpose of broad image.
The deletion device of broad image according to embodiments of the present invention, can obtain multiple original graph by original image acquisition module
These original images are converted to gray level image by picture, greyscale image transitions module, and sharpness computation module is respectively to these gray scales
Image carries out sharpness computation, obtains its corresponding definition values, and broad image acquisition module obtains this according to the definition values
Broad image in a little original images, removing module is deleted these broad images, i.e., is distinguished automatically by definition evaluation algorithms
The definition of multiple images, and according to the definition values of every image judging to meet the image of fuzzy standard, afterwards can be automatic
Delete these images for meeting fuzzy standard, on the one hand, realize the purpose for rapidly deleting broad image automatically, simplify
User operation, on the other hand, by definition evaluation algorithms the fog-level of shot image can be easily distinguished, facilitate use
Family quickly preferably goes out the higher picture of quality in one group of similar image, improves Consumer's Experience.
Preferably, in one embodiment of the invention, as shown in figure 9, the deletion device of the broad image may also include：
Preferred image provides module 60, and preferred image provides module 60 and can be used for after removing module 50 deletes broad image, will
Preferred image is supplied to user.For example, after removing module 50 deletes broad image, preferred image provides module 60 can
Remaining preferred image in original image is collected in into one to show in interface, and shows user to check so as to user.
Thus, select without the need for user or screen and can directly obtain the optimum image of definition in same group of image, and cause
User's more intuitive understanding improves the visual experience of user to preferred image.
In order to lift Consumer's Experience so that user can decide whether what broad image was automatically deleted according to oneself demand
Function.Alternatively, in one embodiment of the invention, as shown in Figure 10, the deletion device of the broad image may also include：
Inlet porting provides module 70.
Specifically, inlet porting provides module 70 and is used to provide the inlet porting for deleting broad image switch, wherein, the setting
Entrance is used for receive user for deleting the operation of broad image switch input.
For example, it is assumed that the deletion device of the broad image of the embodiment of the present invention is applied in mobile terminal, inlet porting provides mould
Block 70 can provide in the terminal the inlet porting for deleting broad image switch on the interface of finding a view of camera application program, such as scheme
Shown in 5, user can click on the settings button icon into the inlet porting of the deletion broad image switch, and can be by sliding
Or the state that deletion broad image switch is changed in operation such as click on.
And for example, it is assumed that the deletion device of the broad image of the embodiment of the present invention is applied in mobile terminal, as shown in fig. 6, setting
It is fuzzy that posting port offer module 70 can provide deletion in the submenu under the camera application program in " setting " of mobile terminal
The inlet porting of presentation switch, user can pass through the state that the deletion broad image switch is changed in the operation such as slip or click.
Due to user may be not turned on delete broad image functional switch, therefore, in order to realize broad image from
It is dynamic to delete, can first detect whether the functional switch has turned on.Alternatively, in an embodiment of the present invention, as shown in Figure 10,
The deletion device of the broad image may also include：Detection module 80 and state change module 90.
Specifically, detection module 80 can be used for before original image acquisition module 10 obtains multiple original images, and detection is deleted
Except whether the state of broad image switch is in opening.State changes module 90 and can be used to be deleted in the detection of detection module 80
When being not in opening except the state of broad image switch, the state for deleting broad image switch is replaced by into opening.
Wherein, in an embodiment of the present invention, original image acquisition module 10 can be additionally used at the state for deleting broad image switch
When opening, multiple original images are obtained.
That is, detection module 80 can detect whether user has been switched on deleting the switch of broad image, it is former if opening
Beginning image collection module 10 can obtain pending original image；If not opening, state changes module 90 and can eject prompting
Inquiry frame, as shown in fig. 7, to remind whether user will open deletion broad image switch, if detecting user's selection
It is "Yes", then can calls inlet porting as shown in Figure 6 so that user is specifically arranged；If detect user's selection is
"No", then into manual deletion action pattern.
In order to realize above-described embodiment, the invention allows for a kind of mobile terminal, the mobile terminal may include any of the above-described individual
The deletion device of the broad image described in embodiment.
Mobile terminal according to embodiments of the present invention, can obtain multiple original by the original image acquisition module in deletion device
These original images are converted to gray level image by image, greyscale image transitions module, and sharpness computation module is respectively to these ashes
Degree image carries out sharpness computation, obtains its corresponding definition values, and broad image acquisition module is obtained according to the definition values
Broad image in these original images, removing module deletes these broad images, i.e., distinguished automatically by definition evaluation algorithms
The not other definition of multiple images, and according to the definition values of every image judging to meet the image of fuzzy standard, can afterwards from
It is dynamic to delete these images for meeting fuzzy standard, on the one hand, to realize the purpose for rapidly deleting broad image automatically, simplify
User operation, on the other hand, by definition evaluation algorithms can easily distinguish the fog-level of shot image, facilitate
User quickly preferably goes out the higher picture of quality in one group of similar image, improves Consumer's Experience.
The delet method for understanding the broad image of the embodiment of the present invention for convenience realizes process, can to realizing the broad image
The operating procedure for deleting function is specifically described.The delet method for assuming the broad image is applied to mobile terminal, such as Figure 11
Shown, the operating procedure may include：
S1101, user uses mobile terminal, opens and check one group of continuous shooting image.
S1102, when the event generation for opening image is detected, can detect " being automatically deleted the switch of broad image " current
Setting value is to open or do not open.
S1103, if opening, then mobile terminal application layer interface display " intelligence preferably in " wait prompting frame, such as
Shown in Figure 12, while application layer shows the prompting frame, the image definition that can complete step S1104～S1107 is calculated.
S1104, by original image image gray processing is carried out, and calls definition algorithm function to be calculated, such as contrast method
Or the Gradient algorithm based on edge.
S1105, calculates respectively the definition values of each image of this group of continuous shooting.
S1106, is ranked up according to the definition values calculated to image, by the corresponding image of value of maximum articulation, as
Preferred image.
S1107, retains preferred image, is automatically deleted with group remaining image.
S1108, on the displaying interface of mobile terminal preferred image is shown.
S1109, if not opening, then ejects on mobile terminals prompting inquiry frame, as shown in fig. 7, to remind the user to be
It is no to open " switch for being automatically deleted broad image ".
S1110, if detecting user selects "Yes", calling the inlet porting offer module of Fig. 5 or Fig. 6 is carried out specifically
Arrange.
S1111, goes to step S1104.
S1112, selects "No", mobile terminal to enter manual deletion action pattern if detecting user.
In describing the invention, " multiple " are meant that at least two, such as two, three etc., unless otherwise clearly having
The restriction of body.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specific example ",
Or the description of " some examples " etc. means to combine specific features, structure, material or feature that the embodiment or example are described
In being contained at least one embodiment of the present invention or example.In this manual, need not to the schematic representation of above-mentioned term
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be with office
Combine in an appropriate manner in one or more embodiments or example.Additionally, in the case of not conflicting, this area
Technical staff can be tied the feature of the different embodiments or example described in this specification and different embodiments or example
Close and combine.
In flow chart or here any process described otherwise above or method description are construed as, expression includes one
Or more module, fragment or parts for being used for the code of executable instruction the step of realize specific logical function or process,
And the scope of the preferred embodiment of the present invention includes other realization, wherein order that is shown or discussing can not be pressed,
Including according to involved function by it is basic simultaneously in the way of or in the opposite order, carry out perform function, this should be by the present invention's
Embodiment person of ordinary skill in the field understood.
In flow charts expression or here logic described otherwise above and/or step, for example, are considered for reality
The order list of the executable instruction of existing logic function, in may be embodied in any computer-readable medium, for instruction
Execution system, device or equipment (as computer based system, the system including processor or other can perform from instruction
The system of system, device or equipment instruction fetch and execute instruction) use, or with reference to these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicating, propagating
Or transmission procedure is used for instruction execution system, device or equipment or with reference to these instruction execution systems, device or equipment
Device.The more specifically example (non-exhaustive list) of computer-readable medium includes following：With one or more cloth
The electrical connection section (electronic installation) of line, portable computer diskette box (magnetic device), random access memory (RAM) is read-only
Memorizer (ROM), erasable edit read-only storage (EPROM or flash memory), fiber device, and it is portable
Compact disc read-only memory (CDROM).In addition, computer-readable medium can even is that the paper that can thereon print described program
Or other suitable media, because for example by carrying out optical scanning to paper or other media edlin, solution can then be entered
Translate or be processed to other suitable methods if necessary electronically to obtain described program, be then stored in computer
In memorizer.
It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.In above-mentioned reality
In applying mode, software that multiple steps or method can in memory and by suitable instruction execution system be performed with storage or
Firmware is realizing.For example, if realized with hardware, and in another embodiment, can be with well known in the art
Any one of row technology or their combination are realizing：With for realizing the logic gates of logic function to data signal
Discrete logic, the special IC with suitable combinational logic gate circuit, programmable gate array (PGA) is existing
Field programmable gate array (FPGA) etc..
Those skilled in the art be appreciated that to realize all or part of step that above-described embodiment method is carried is can
Completed with the hardware that correlation is instructed by program, described program can be stored in a kind of computer-readable recording medium,
The program upon execution, including one or a combination set of the step of embodiment of the method.
Additionally, each functional unit in each embodiment of the invention can be integrated in a processing module, or each
Individual unit is individually physically present, it is also possible to which two or more units are integrated in a module.Above-mentioned integrated module was both
Can be realized in the form of hardware, it would however also be possible to employ the form of software function module is realized.If the integrated module with
The form of software function module is realized and as independent production marketing or when using, it is also possible to be stored in a computer-readable
In taking storage medium.
Storage medium mentioned above can be read only memory, disk or CD etc..Although having been shown and described above
Embodiments of the invention, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as limitation of the present invention,
One of ordinary skill in the art can be changed within the scope of the invention to above-described embodiment, change, replacing and modification.
Claims (19)
1. a kind of delet method of broad image, it is characterised in that comprise the following steps：
Multiple original images are obtained, and described multiple original images are converted to into multiple gray level images；
Respectively sharpness computation is carried out to described multiple gray level images, obtain multiple corresponding with described multiple original images clear
Angle value；And
Broad image in multiple original images according to the plurality of definition values are obtained, and delete the broad image.
2. the delet method of broad image as claimed in claim 1, it is characterised in that obtained according to the plurality of definition values
The broad image in described multiple original images is taken, is specifically included：
The plurality of definition values are carried out into size comparison, the maximum original image of definition values is preferred image, and remaining is former
Beginning image is the broad image.
3. the delet method of broad image as claimed in claim 1, it is characterised in that obtained according to the plurality of definition values
The broad image in described multiple original images is taken, is specifically included：
Judge the plurality of definition values whether less than predetermined threshold value one by one；
If less than the predetermined threshold value, then definition values are the broad image less than the original image of the predetermined threshold value.
4. the delet method of broad image as claimed in claim 3, it is characterised in that also include：
If greater than or equal to the predetermined threshold value, then definition values are excellent more than or equal to the original image of the predetermined threshold value
Select image.
5. the delet method of the broad image as described in claim 2 or 4, it is characterised in that deleting the broad image
Afterwards, methods described also includes：
The preferred image is supplied to into user.
6. the delet method of broad image as claimed in claim 1, it is characterised in that respectively to described multiple gray level images
Sharpness computation is carried out, multiple definition values corresponding with described multiple original images are obtained, is specifically included：
For every gray level image, the gray value of each pixel in every gray level image is obtained, and according to default right
The corresponding contrast evaluation of estimate of every gray level image is calculated than the gray value of degree evaluation model and each pixel, and
Using the contrast evaluation of estimate as every original image definition values.
7. the delet method of broad image as claimed in claim 1, it is characterised in that respectively to described multiple gray level images
Sharpness computation is carried out, the corresponding definition values of multiple described multiple original images are obtained, is specifically included：
For every gray level image, the Gradient algorithm based on edge selects multiple marginal zones in every gray level image
Domain；
The selected pixels dot matrix in each marginal area, and the pixel-matrix is calculated according to Laplace operator, obtain
To the definition values of each marginal area；And
The definition values of every original image are calculated according to the definition values of each marginal area.
8. the delet method of broad image as claimed in claim 1, it is characterised in that before multiple original images are obtained,
Methods described also includes：
The inlet porting for deleting broad image switch is provided, the inlet porting is used for receive user and is directed to the deletion fuzzy graph
As the operation of switch input.
9. the delet method of broad image as claimed in claim 8, it is characterised in that before multiple original images are obtained,
Methods described also includes：
Whether the detection state for deleting broad image switch is in opening；
If it is not, then the state of the deletion broad image switch is replaced by into opening；
If so, multiple original images are then obtained.
10. the deletion device of a kind of broad image, it is characterised in that include：
Original image acquisition module, for obtaining multiple original images；
Greyscale image transitions module, for described multiple original images to be converted to into multiple gray level images；
Sharpness computation module, for described multiple gray level images carrying out sharpness computation respectively, obtains multiple many with described
Open the corresponding definition values of original image；
Broad image acquisition module, for the broad image in multiple original images according to the acquisition of the plurality of definition values；
And
Removing module, for deleting the broad image.
The deletion device of 11. broad images as claimed in claim 10, it is characterised in that the broad image acquisition module
Specifically for：
The plurality of definition values are carried out into size comparison, the maximum original image of definition values is preferred image, and remaining is former
Beginning image is the broad image.
The deletion device of 12. broad images as claimed in claim 10, it is characterised in that the broad image acquisition module
Specifically for：
Judge the plurality of definition values whether less than predetermined threshold value one by one；
If less than the predetermined threshold value, then definition values are the broad image less than the original image of the predetermined threshold value.
The deletion device of 13. broad images as claimed in claim 12, it is characterised in that the broad image acquisition module
It is additionally operable to：When the definition values are more than or equal to the predetermined threshold value, definition values are more than or equal to the predetermined threshold value
Original image be preferred image.
The deletion device of 14. broad images as described in claim 11 or 13, it is characterised in that also include：
Preferred image provides module, after deleting the broad image in the removing module, the preferred image is carried
Supply user.
The deletion device of 15. broad images as claimed in claim 10, it is characterised in that the sharpness computation module tool
Body is used for：
For every gray level image, the gray value of each pixel in every gray level image is obtained, and according to default right
The corresponding contrast evaluation of estimate of every gray level image is calculated than the gray value of degree evaluation model and each pixel, and
Using the contrast evaluation of estimate as every original image definition values.
The deletion device of 16. broad images as claimed in claim 10, it is characterised in that the sharpness computation module tool
Body is used for：
For every gray level image, the Gradient algorithm based on edge selects multiple marginal zones in every gray level image
Domain；
The selected pixels dot matrix in each marginal area, and the pixel-matrix is calculated according to Laplace operator, obtain
To the definition values of each marginal area；And
The definition values of every original image are calculated according to the definition values of each marginal area.
The deletion device of 17. broad images as claimed in claim 10, it is characterised in that also include：
Inlet porting provides module, and for providing the inlet porting for deleting broad image switch, the inlet porting is used to receive
Operation of the user for the deletion broad image switch input.
The deletion device of 18. broad images as claimed in claim 17, it is characterised in that also include：
Detection module, for before the original image acquisition module obtains multiple original images, detecting that described deletion obscures
Whether the state of presentation switch is in opening；
State changes module, for being not in described opening in the detection module detection state for deleting broad image switch
When opening state, the state of the deletion broad image switch is replaced by into opening；Wherein,
The original image acquisition module is additionally operable to when the state of the deletion broad image switch is in the opening,
Obtain multiple original images.
19. a kind of mobile terminals, it is characterised in that include：Fuzzy graph as any one of claim 10 to 18
The deletion device of picture.
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