CN107451959A - Image processing method and system - Google Patents
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- CN107451959A CN107451959A CN201610373198.7A CN201610373198A CN107451959A CN 107451959 A CN107451959 A CN 107451959A CN 201610373198 A CN201610373198 A CN 201610373198A CN 107451959 A CN107451959 A CN 107451959A
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- 238000003672 processing method Methods 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 claims abstract description 21
- 230000011218 segmentation Effects 0.000 claims abstract description 9
- 238000001914 filtration Methods 0.000 claims description 13
- 238000003707 image sharpening Methods 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 4
- 230000006870 function Effects 0.000 description 6
- 230000002708 enhancing effect Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 238000011109 contamination Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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Abstract
A kind of image processing method and system, methods described include:Obtain pending picture;By the pending picture segmentation into more sub-regions, the contrast per sub-regions is calculated, and the fog-level of the pending picture is determined according to the contrast of every sub-regions;And the pending picture is handled according to the fog-level of the pending picture.The definition of blurred picture can be improved by the present invention, and user can be prompted to clean eyeglass in time, the problem of so as to avoid greasy dirt from causing picture pick-up device image blur, to ensure to obtain clearly image.
Description
Technical field
The present invention relates to digital image processing techniques field, more particularly to a kind of image processing method and it is
System.
Background technology
Because the eyeglass of mobile phone camera is easier the greasy dirt be infected with upper finger, so as to cause mobile phone
Camera is taken a picture easily fuzzy.The method for solving this problem at present is that layer of metal film is plated on camera lens
To reduce the contamination of greasy dirt.Although metallic diaphragm can reduce the contamination of greasy dirt and itself possess easily clear
The characteristic to degrease, but the problem of camera imaging caused by can not being fully solved greasy dirt is fuzzy.
The content of the invention
In view of the foregoing, it is necessary to a kind of image processing method and system are provided, blurred picture can be improved
Definition, and can prompt in time user clean eyeglass, so as to avoid greasy dirt cause picture pick-up device be imaged mould
The problem of paste, to ensure to obtain clearly image.
A kind of image processing method, applied in electronic equipment, methods described includes:
Obtain pending picture;
By the pending picture segmentation into more sub-regions, the contrast per sub-regions, and root are calculated
The fog-level of the pending picture is determined according to the contrast of every sub-regions;And
The pending picture is handled according to the fog-level of the pending picture.
According to one preferred embodiment of the present invention, the fog-level of the pending picture include slight, moderate,
Severe.
According to one preferred embodiment of the present invention, contrast of the basis per sub-regions determines described pending
The fog-level of picture includes:
When the contrast in the pending picture per sub-regions is all not less than the first preset value, it is determined that
The fog-level of the pending picture is slight;Or
When the contrast of at least one subregion in the pending picture is less than the first preset value and big
When the second preset value, the fog-level for determining the pending picture is moderate, wherein described first is pre-
If value is more than second preset value;Or
When the contrast for the subregion for having predetermined number in the pending picture is not more than the second preset value
When, the fog-level for determining the pending picture is severe.
According to one preferred embodiment of the present invention, according to the fog-level of the pending picture to described pending
Picture, which carries out processing, to be included:
At least two picture processing patterns, including the first preset mode and the second preset mode are set;And
When the fog-level of the pending picture is slight, according to corresponding to first preset mode
Image processing method is handled the pending picture, wherein scheming corresponding to first preset mode
Piece processing method includes following any or a variety of processing:Adjust signal noise ratio (snr) of image, adjustment color saturation
Degree;Or
When the fog-level of the pending picture is moderate, according to corresponding to second preset mode
Image processing method is handled the pending picture, wherein, corresponding to second preset mode
Image processing method includes following one or more kinds of processing:Image filtering, image sharpening, regulation image
Signal to noise ratio, adjustment color saturation.
According to one preferred embodiment of the present invention, when the fog-level of the pending picture is severe, prompt
Pending picture can not correct described in user, and prompt user's eyeglass for cleaning picture pick-up device.
A kind of picture processing system, applied in electronic equipment, the system includes:
Acquisition module, for obtaining pending picture;
Determining module, for the pending picture segmentation into more sub-regions, to be calculated per sub-regions
Contrast, and determine according to the contrast of every sub-regions the fog-level of the pending picture;And
Processing module, the pending picture is carried out for the fog-level according to the pending picture
Processing.
According to one preferred embodiment of the present invention, the fog-level of the pending picture include slight, moderate,
Severe.
According to one preferred embodiment of the present invention, contrast of the basis per sub-regions determines described pending
The fog-level of picture includes:
When the contrast in the pending picture per sub-regions is all not less than the first preset value, it is determined that
The fog-level of the pending picture is slight;Or
When the contrast of at least one subregion in the pending picture is less than the first preset value and big
When the second preset value, the fog-level for determining the pending picture is moderate, wherein described first is pre-
If value is more than second preset value;Or
When the contrast for the subregion for having predetermined number in the pending picture is not more than the second preset value
When, the fog-level for determining the pending picture is severe.
According to one preferred embodiment of the present invention, the fog-level according to the pending picture is treated to described
Processing picture, which carries out processing, to be included:
At least two picture processing patterns, including the first preset mode and the second preset mode are set;And
When the fog-level of the pending picture is slight, according to corresponding to first preset mode
Image processing method is handled the pending picture, wherein scheming corresponding to first preset mode
Piece processing method includes following any or a variety of processing:Adjust signal noise ratio (snr) of image, adjustment color saturation
Degree;Or
When the fog-level of the pending picture is moderate, according to corresponding to second preset mode
Image processing method is handled the pending picture, wherein, corresponding to second preset mode
Image processing method includes following one or more kinds of processing:Image filtering, image sharpening, regulation image
Signal to noise ratio, adjustment color saturation.
According to one preferred embodiment of the present invention, the processing module is additionally operable to obscuring when the pending picture
When degree is severe, prompt pending picture described in user not correct, and prompt user to clean shooting and set
Standby eyeglass.
As can be seen from the above technical solutions, the fog-level of the invention according to the pending picture is to institute
Pending picture is stated to be handled, so as to improve the definition of blurred picture, and can be in picture blur degree
For severe when, prompt user to clean eyeglass, the problem of so as to avoid greasy dirt from causing picture pick-up device image blur,
To ensure to obtain clearly image, experience of user when using picture pick-up device is further lifted.
Brief description of the drawings
Fig. 1 is the structural representation of preferred embodiment of the present invention using the electronic equipment of image processing method
Figure.
Fig. 2 is the flow chart of the preferred embodiment of image processing method of the present invention.
Fig. 3 is the functional block diagram of the preferred embodiment of picture processing system of the present invention.
Main element symbol description
Electronic equipment | 1 |
Picture processing system | 10 |
Storage device | 20 |
Processing equipment | 30 |
Picture pick-up device | 40 |
Acquisition module | 100 |
Determining module | 101 |
Processing module | 102 |
Embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with the accompanying drawings and specifically
The present invention will be described in detail for embodiment.
As shown in figure 1, it is the structural representation of the preferred embodiment for the electronic equipment for realizing image processing method
Figure.As shown in the structural representation, an electronic equipment 1 includes picture processing system 10.The electronics is set
Standby 1 also includes storage device 20, processing equipment 30 and picture pick-up device 40.In other embodiments, institute
Picture pick-up device 40 is stated by external mode with the electronic equipment 1 to be connected.
Preferably, the picture processing system 10 is contained in picture processing plug-in unit.The picture processing is inserted
Part can be loaded on each type operating system, software, using (APP) etc. can in the program of independent operating so that
It is loaded program and is able to carry out respective handling as described in the present invention.
It is highly preferred that can be by the way that existing plug-in unit be combined to form with the picture processing system 10
Picture processing plug-in unit is stated, for example, the picture processing system 10 is included in existing shooting plug-in unit, with
Obtain described picture processing plug-in unit etc..
Preferably, image processing method of the invention passes through the picture processing system in the electronic equipment 1
10 realize.The electronic equipment 1 is a kind of can to enter automatically according to the instruction for being previously set or storing
Row numerical computations and/or the equipment of information processing, its hardware include but is not limited to microprocessor, special integrated
Circuit (Application Specific Integrated Circuit, ASIC), programmable gate array (Field-
Programmable Gate Array, FPGA), digital processing unit (Digital Signal Processor, DSP),
Embedded device etc..The terminal 1 may also include the network equipment and/or user equipment.Wherein, the net
Network equipment includes but is not limited to single network server, the server group or base of multiple webservers composition
In cloud computing (Cloud Computing) cloud being made up of a large amount of main frames or the webserver, wherein, cloud
Calculating is one kind of Distributed Calculation, and one be made up of the computer collection of a group loose couplings is super virtual
Computer.The user equipment, which includes but is not limited to any one, to pass through keyboard, mouse, distant with user
The modes such as control device, touch pad or voice-operated device carry out the electronic product of man-machine interaction, for example, individual calculus
Machine, tablet personal computer, smart mobile phone, personal digital assistant (Personal Digital Assistant, PDA),
Game machine, IPTV (Internet Protocol Television, IPTV), intellectual wear
Wear formula equipment etc..Wherein, the network residing for the user equipment and the network equipment includes but is not limited to interconnect
Net, wide area network, Metropolitan Area Network (MAN), LAN, VPN (Virtual Private Network, VPN)
Deng.
The picture processing system 10 is used to wait to locate to described according to the fog-level of the pending picture
Reason picture is handled, and so as to improve the definition of blurred picture, and can be severe in picture blur degree
When, prompt user to clean eyeglass, the problem of so as to avoid greasy dirt from causing picture pick-up device image blur, with true
Protect and obtain clearly image, and lift experience of user when using picture pick-up device.
The storage device 20 is used for the program generation for storing each program segment in the picture processing system 10
Code.The storage device 20 can be smart media card (smart media card), safe digital card (secure
Digital card), the storage facilities such as flash memory cards (flash card).
The processing equipment 30 can be one or more microprocessor, digital processing unit composition.It is described
Picture pick-up device 40, which includes, but not limited to camera, video camera etc., has the picture pick-up device of camera function.
As shown in Fig. 2 it is the flow chart of the preferred embodiment of image processing method of the present invention.According to difference
Demand, the order of step can change in the flow chart, and some steps can be omitted.
S10, the picture processing system 10 obtain pending picture.
In the present embodiment, when user is using the picture pick-up device 40 shooting picture, the picture processing
System 10 obtains the picture captured by the picture pick-up device 40, using acquired picture as pending figure
Piece.
In other embodiments, the picture processing system 10 can also receive the picture of other users transmission,
And using the picture received as pending picture, or from directly reading from the storage device 20 and treating
Manage picture.
S11, the picture processing system 10 into more sub-regions, calculate the pending picture segmentation
Contrast per sub-regions, and determine according to the contrast of every sub-regions the mould of the pending picture
Paste degree.
In the present embodiment, the picture processing system 10 by the pending picture segmentation into multiple sub-districts
Domain, the contrast per sub-regions is calculated, the pending figure is determined according to the contrast of every sub-regions
The fog-level of piece.In the present embodiment, the fog-level of the pending picture can include, but not
It is limited to:Slightly, moderate, severe.
Further, when the contrast in the pending picture per sub-regions is default all not less than first
During value, the picture processing system 10 determines that the fog-level of the pending picture is slight, the figure
Piece processing system 10 determines that the pending picture is clear picture or slight blurred picture.
When the contrast for having at least one subregion in the pending picture is less than the first preset value and is more than
During the second preset value, during the picture processing system 10 determines that the fog-level of the pending picture is
Degree.
When the contrast for the subregion for having predetermined number in the pending picture is not more than the second preset value
When, the picture processing system 10 determines that the fog-level of the pending picture is severe.It is described default
Quantity is preset value, can carry out self-defined setting according to the actual requirements.
First preset value is more than second preset value, and first preset value, described second are preset
Value, the value of predetermined number carry out self-defined setting according to the actual requirements.
S12, the pending picture is handled according to the fog-level of the pending picture.
In the present embodiment, the picture processing system 10 sets at least two picture processing patterns:First
Preset mode and the second preset mode.First preset mode is used to handle fog-level for slightly pending
Picture.Second preset mode is used to handle the pending picture that fog-level is moderate.
When it is slight that the picture processing system 10, which determines the fog-level of the pending picture, according to
Image processing method is handled the pending picture corresponding to first preset mode.
When the fog-level of a pictures be it is slight, for improve picture processing efficiency, in the present embodiment may be used
So that without being filtered processing and image sharpening to the picture, therefore, first preset mode is corresponding
Image processing method may include following one or more kinds of processing:Adjust signal noise ratio (snr) of image, adjustment color
Saturation degree etc..In other embodiments, to provide the clear picture of high-quality, also can be to fog-level
Slight picture is more handled, such as adjustment angularity, the soft degree of regulation, adjustment exposure etc.
Deng.
When it is moderate that the picture processing system 10, which determines the fog-level of the pending picture, according to
Image processing method is handled the pending picture corresponding to second preset mode.
Image processing method corresponding to second preset mode includes following one or more kinds of processing:Figure
As filtering, image sharpening, regulation signal noise ratio (snr) of image, adjustment color saturation etc..
Further, the pending picture is filtered using image filtering method can be by following
At least one mode is realized:
(1) the pending picture is converted into using frequency domain method by 2D signal, and to the two dimension
Signal carries out the signal enhancing of two-dimension fourier transform, removes institute (such as Wiener filtering) using low pass wave band method
State the noise in pending picture.
(2) space domain method is used, i.e., using the method for choosing the median pixel value in local domain, is passed through
The pending picture is filtered using high pass wave band (such as medium filtering), enhancing is described pending
The high-frequency signal at the edge of picture, remove the noise in the pending picture, reach make it is described pending
The part obscured in picture is apparent from.
Further, the pending picture is sharpened using image sharpening method can be by following
A kind of mode is realized:The edge of the pending picture is extracted using edge extraction techniques, then according to being carried
The profile of pending picture described in the edge compensation taken, increase the edge of the pending figure.
When it is severe that the picture processing system 10, which determines the fog-level of the pending picture, due to
Image can not be corrected, prompt pending picture described in user not correct, and prompt user to clean
The eyeglass of the picture pick-up device 40.
In other embodiments, after the contrast in calculating the pending picture per sub-regions,
The picture processing system 10 obtains the pending figure according to the contrast of calculated every sub-regions
Minimum contrast corresponding to piece, when minimum contrast corresponding to the pending picture is less than the 3rd preset value
When, and minimum contrast corresponding to the pending picture is stored in the storage device 20.Work as place
When managing other pictures, equally when minimum contrast corresponding to other described pictures is less than the 3rd preset value
When, and other described pictures are corresponded into minimum contrast and are stored in the storage device 20.When default
Between in section, when the number of the minimum contrast of the storage device 20 storage is more than predetermined number, prompting
User cleans the eyeglass of the picture pick-up device 40.3rd preset value, predetermined number are empirical value.
Therefore, the present invention according to the fog-level of the pending picture to the pending picture at
Reason, so as to improve the definition of blurred picture, and user can be prompted when picture blur degree is severe
Eyeglass is cleaned, the problem of so as to avoid greasy dirt from causing picture pick-up device image blur, to ensure that user can obtain
Clearly picture, and lift experience of user when using picture pick-up device.
As shown in figure 3, the picture processing system 10 include acquisition module 100, determining module 101,
And processing module 102.Module alleged by the present invention refer to one kind can be processed equipment 30 it is performed and
The series of computation machine program segment of fixing function can be completed, it is stored in storage device 20.In this reality
Apply in example, the function on each module will be described in detail in follow-up embodiment.
The acquisition module 100, for obtaining pending picture.
In the present embodiment, when user is using the picture pick-up device 40 shooting picture, the acquisition module
100 obtain the picture captured by the picture pick-up device 40, using acquired picture as pending picture.
In other embodiments, the acquisition module 100 can also receive the picture of other users transmission, and
Using the picture received as pending picture, or directly read from the storage device 20 pending
Picture.
The determining module 101, for the pending picture segmentation into more sub-regions, to be calculated every
The contrast of sub-regions, and the fuzzy of the pending picture is determined according to the contrast of every sub-regions
Degree.
In the present embodiment, the determining module 101 by the pending picture segmentation into more sub-regions,
The contrast per sub-regions is calculated, the pending picture is determined according to the contrast of every sub-regions
Fog-level.In the present embodiment, the fog-level of the pending picture can include, but are not limited to:
Slightly, moderate, severe.
Further, when the contrast in the pending picture per sub-regions is default all not less than first
During value, the determining module 101 determines that the fog-level of the pending picture is slight, the determination
Module 101 determines that the pending picture is clear picture or slight blurred picture.
When the contrast for having at least one subregion in the pending picture is less than the first preset value and is more than
During the second preset value, the determining module 101 determines that the fog-level of the pending picture is moderate.
When the contrast for the subregion for having predetermined number in the pending picture is not more than the second preset value
When, the determining module 101 determines that the fog-level of the pending picture is severe.The present count
Measure as preset value, self-defined setting can be carried out according to the actual requirements.
First preset value is more than second preset value, and first preset value, described second are preset
Value, the value of predetermined number carry out self-defined setting according to the actual requirements.
The processing module 102, for according to the fog-level of the pending picture to described pending
Picture is handled.
In the present embodiment, the processing module 102 sets at least two picture processing patterns:First is pre-
If pattern and the second preset mode.First preset mode is used to handle fog-level for slight pending figure
Piece.Second preset mode is used to handle the pending picture that fog-level is moderate.
When the fog-level of the pending picture is slight, according to corresponding to first preset mode
Image processing method is handled the pending picture.
When the fog-level of a pictures be it is slight, for improve picture processing efficiency, in the present embodiment may be used
So that without being filtered processing and image sharpening to the picture, therefore, first preset mode is corresponding
Image processing method may include following one or more kinds of processing:Adjust signal noise ratio (snr) of image, adjustment color
Saturation degree etc..In other embodiments, to provide the clear picture of high-quality, also can be to fog-level
Slight picture is more handled, such as adjustment angularity, the soft degree of regulation, adjustment exposure etc.
Deng.
When the fog-level of the pending picture is moderate, according to corresponding to second preset mode
Image processing method is handled the pending picture.
Image processing method corresponding to second preset mode includes following one or more kinds of processing:Figure
As filtering, image sharpening, regulation signal noise ratio (snr) of image, adjustment color saturation etc..
Further, the processing module 102 is carried out using image filtering method to the pending picture
Filtering can be realized by following at least one mode:
(1) the pending picture is converted into using frequency domain method by 2D signal, and to the two dimension
Signal carries out the signal enhancing of two-dimension fourier transform, removes institute (such as Wiener filtering) using low pass wave band method
State the noise in pending picture.
(2) space domain method is used, i.e., using the method for choosing the median pixel value in local domain, is passed through
The pending picture is filtered using high pass wave band (such as medium filtering), enhancing is described pending
The high-frequency signal at the edge of picture, remove the noise in the pending picture, reach make it is described pending
The part obscured in picture is apparent from.
Further, the processing module 102 is carried out using image sharpening method to the pending picture
Sharpening can be realized by a kind of following mode:The pending picture is extracted using edge extraction techniques
Edge, then according to the edge compensation extracted pending picture profile, increase the pending figure
Edge.
When the fog-level of the pending picture is severe, due to can not be corrected to image, carry
Show that pending picture can not correct described in user, and prompt user's eyeglass for cleaning the picture pick-up device 40.
Therefore, the present invention according to the fog-level of the pending picture to the pending picture at
Reason, so as to improve the definition of blurred picture, and user can be prompted when picture blur degree is severe
Eyeglass is cleaned, the problem of so as to avoid greasy dirt from causing picture pick-up device image blur, to ensure that user can obtain
Clearly picture, and lift experience of user when using picture pick-up device.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and
Method, it can realize by another way.For example, device embodiment described above is only to show
Meaning property, for example, the division of the module, only a kind of division of logic function can when actually realizing
To there is other dividing mode.
The module illustrated as separating component can be or may not be it is physically separate, make
It can be for the part that module is shown or may not be physical location, you can with positioned at a place,
Or it can also be distributed on multiple NEs.Can select according to the actual needs part therein or
Person's whole module realizes the purpose of this embodiment scheme.
In addition, each functional module in each embodiment of the present invention can be integrated in a processing unit,
Can also be that unit is individually physically present, can also two or more units be integrated in a list
In member.Above-mentioned integrated unit can both be realized in the form of hardware, can also add software using hardware
The form of functional module is realized.
The above-mentioned integrated unit realized in the form of software function module, can be stored in a computer
In read/write memory medium.Above-mentioned software function module is stored in a storage medium, including some fingers
Make to cause a computer equipment (can be personal computer, server, or network equipment etc.)
Or processor (processor) performs the part steps of each embodiment methods described of the present invention.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment,
And without departing from the spirit or essential characteristics of the present invention, can be real in other specific forms
The existing present invention.Therefore, no matter from the point of view of which point, embodiment all should be regarded as exemplary, and
It is nonrestrictive, the scope of the present invention is limited by appended claims rather than described above, therefore purport
It is included in by all changes fallen in the implication and scope of the equivalency of claim in the present invention.
Any attached associated diagram mark in claim should not be considered as the involved claim of limitation.In addition,
The obvious word of " comprising " one is not excluded for other units or step, and odd number is not excluded for plural number.In system claims
The multiple units or device of statement can also be realized by a unit or device by software or hardware.
The first, the second grade word is used for representing title, and is not offered as any specific order.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted,
Although the present invention is described in detail with reference to preferred embodiment, one of ordinary skill in the art should
Understand, technical scheme can be modified or equivalent substitution, without departing from the technology of the present invention
The spirit and scope of scheme.
Claims (10)
1. a kind of image processing method, applied in electronic equipment, it is characterised in that methods described includes:
Obtain pending picture;
By the pending picture segmentation into more sub-regions, the contrast per sub-regions, and root are calculated
The fog-level of the pending picture is determined according to the contrast of every sub-regions;And
The pending picture is handled according to the fog-level of the pending picture.
2. image processing method as claimed in claim 1, it is characterised in that the mould of the pending picture
Paste degree includes slight, moderate, severe.
3. image processing method as claimed in claim 2, it is characterised in that the basis is per sub-regions
Contrast determine that the fog-level of the pending picture includes:
When the contrast in the pending picture per sub-regions is all not less than the first preset value, it is determined that
The fog-level of the pending picture is slight;Or
When the contrast of at least one subregion in the pending picture is less than the first preset value and big
When the second preset value, the fog-level for determining the pending picture is moderate, wherein described first is pre-
If value is more than second preset value;Or
When the contrast for the subregion for having predetermined number in the pending picture is not more than the second preset value
When, the fog-level for determining the pending picture is severe.
4. image processing method as claimed in claim 2, it is characterised in that according to the pending picture
Fog-level processing carried out to the pending picture included:
At least two picture processing patterns, including the first preset mode and the second preset mode are set;And
When the fog-level of the pending picture is slight, according to corresponding to first preset mode
Image processing method is handled the pending picture, wherein scheming corresponding to first preset mode
Piece processing method includes following any or a variety of processing:Adjust signal noise ratio (snr) of image, adjustment color saturation
Degree;Or
When the fog-level of the pending picture is moderate, according to corresponding to second preset mode
Image processing method is handled the pending picture, wherein, corresponding to second preset mode
Image processing method includes following one or more kinds of processing:Image filtering, image sharpening, regulation image
Signal to noise ratio, adjustment color saturation.
5. image processing method as claimed in claim 2, it is characterised in that when the pending picture
When fog-level is severe, prompt pending picture described in user not correct, and prompt user that cleaning is taken the photograph
As the eyeglass of equipment.
6. a kind of picture processing system, applied in electronic equipment, it is characterised in that the system includes:
Acquisition module, for obtaining pending picture;
Determining module, for the pending picture segmentation into more sub-regions, to be calculated per sub-regions
Contrast, and determine according to the contrast of every sub-regions the fog-level of the pending picture;And
Processing module, the pending picture is carried out for the fog-level according to the pending picture
Processing.
7. picture processing system as claimed in claim 6, it is characterised in that the mould of the pending picture
Paste degree includes slight, moderate, severe.
8. picture processing system as claimed in claim 7, it is characterised in that the basis is per sub-regions
Contrast determine that the fog-level of the pending picture includes:
When the contrast in the pending picture per sub-regions is all not less than the first preset value, it is determined that
The fog-level of the pending picture is slight;Or
When the contrast of at least one subregion in the pending picture is less than the first preset value and big
When the second preset value, the fog-level for determining the pending picture is moderate, wherein described first is pre-
If value is more than second preset value;Or
When the contrast for the subregion for having predetermined number in the pending picture is not more than the second preset value
When, the fog-level for determining the pending picture is severe.
9. picture processing system as claimed in claim 7, it is characterised in that described according to described pending
The fog-level of picture carries out processing to the pending picture to be included:
At least two picture processing patterns, including the first preset mode and the second preset mode are set;And
When the fog-level of the pending picture is slight, according to corresponding to first preset mode
Image processing method is handled the pending picture, wherein scheming corresponding to first preset mode
Piece processing method includes following any or a variety of processing:Adjust signal noise ratio (snr) of image, adjustment color saturation
Degree;Or
When the fog-level of the pending picture is moderate, according to corresponding to second preset mode
Image processing method is handled the pending picture, wherein, corresponding to second preset mode
Image processing method includes following one or more kinds of processing:Image filtering, image sharpening, regulation image
Signal to noise ratio, adjustment color saturation.
10. picture processing system as claimed in claim 7, it is characterised in that the processing module is additionally operable to
When the fog-level of the pending picture is severe, pending picture described in user is prompted not correct,
And prompt user's eyeglass for cleaning picture pick-up device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610373198.7A CN107451959B (en) | 2016-05-31 | 2016-05-31 | Picture processing method and system |
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