CN109658332B - Image amplification method and terminal based on streaming data processing - Google Patents
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Abstract
The application relates to an image amplification method and a terminal based on streaming data processing. The method comprises the following steps: obtaining an original image and a target magnification D 0 And executing S1-S3; s1, sequentially calculating interpolation coordinates of all target pixel points in an interpolation picture frame; after the interpolation coordinate of any one target pixel point is determined, the interpolation coordinate is transmitted to the step S2; s2, calculating the coordinates of the related original pixel points of the target pixel points in the original image according to the interpolation coordinates in sequence; after the coordinates of the relevant original pixel points of any one target pixel point are determined, the coordinates of the phase Guan Yuan pixel points are transmitted to the step S3; s3, determining the pixel value of the target pixel point according to the coordinate of the related original pixel point and the pixel value of the related original pixel point in sequence; and when the pixel values of all the target pixel points are obtained, generating a target amplified image. The method has the advantages of high data operation efficiency, short operation time and low consumption of terminal hardware resources, and is favorable for keeping the operation speed of the terminal and prolonging the service life of the terminal.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an image amplification method and a terminal based on streaming data processing.
Background
Image magnification refers to an image processing technique that obtains a high-pixel version of a low-pixel image from a single image, and is a common way in image processing. The detailed information in the image can be better observed by magnifying the image to a certain multiple.
In general, in the process of image enlargement, firstly, the pixel value of the original image is multiplied by the target enlargement ratio to obtain the coordinates of all target pixel points in the target enlarged image. And then, calculating the pixel value of each target pixel point to obtain a target amplified image. The process of calculating the pixel value of the target pixel point comprises the following steps: 1) Calculating the coordinate of each target pixel point in the original image according to the target amplification ratio, wherein the coordinate is usually a decimal; 2) Determining the coordinates of a plurality of original pixel points adjacent to a target pixel point in an original image by rounding the coordinates of the target pixel point in the original image; 3) And calculating the pixel value of the target pixel point by an interpolation algorithm according to the coordinate and the pixel value of the adjacent original pixel point.
However, in the above process, the pixel value of each target pixel point is usually calculated in a point-by-point calculation manner. That is to say, after the pixel value of the first target pixel point is obtained through the calculation of the steps 1) to 3), the step 1) to 3) is executed to calculate the pixel value of the second target pixel point, and so on until the pixel values of all the target pixel points are obtained through the calculation. The method has low data operation efficiency, long operation time and large consumption of terminal hardware resources, so that the operation speed of the terminal is reduced, and the method is particularly more obvious on terminals with low configuration.
Disclosure of Invention
The application provides an image amplification method and a terminal based on streaming data processing, and aims to solve the problems that in the prior art, the data operation efficiency is low, the operation time is long, the consumption of terminal hardware resources is large, and the operation speed of the terminal is slow.
In a first aspect of the present application, there is provided an image enlarging method based on streaming data processing, the method including:
obtaining an original image and a target magnification D of the original image 0 ，D 0 If the pixel number is more than 1, the pixel number of the original image is A multiplied by B, and A is the number of pixel points of each line of the original image; b is the number of each row of pixel points of the original image;
according to the target magnification factor D 0 Determining an interpolation magnification factor D and a sampling interval M;
according to the pixels A x B of the original image and the target magnification D 0 Determining destination coordinates (k) of all target pixels of the target enlarged image i ,k j ) Wherein, in the step (A),
according to the interpolation magnification D, the sampling interval M and the target coordinate (k) i ,k j ) Calculating the pixel values of all target pixel points through the steps S1 to S3:
s1, sequentially calculating interpolation coordinates of all target pixel points in an interpolation picture frame; after the interpolation coordinate of any one target pixel point is determined, the interpolation coordinate is transmitted to the step S2;
s2, calculating the related original pixel point coordinates of all the target pixel points in the original image according to the interpolation coordinates in sequence; after the coordinates of the related original pixel points of any one target pixel point are determined, the coordinates of the related original pixel points are transmitted to the step S3;
s3, determining pixel values of all target pixel points according to the related original pixel point coordinates and the pixel values of the related original pixel points in sequence;
and when the pixel values of all the target pixel points are obtained, generating a target amplified image.
Optionally, the target magnification D is used 0 Determining an interpolation magnification D and a sampling interval M, comprising:
judging the target magnification D 0 Whether it is an integer;
if the magnification factor D is 0 Is an integer, then the interpolation magnification D = D 0 The sampling interval M =1;
if the target magnification D 0 Is decimal, and
is an integer, then the interpolation magnification is
The sampling interval pick>
If the target magnification D 0 Is decimal, and
in decimal, the interpolation magnification factor
The sampling interval/>
Optionally, the target magnification D is used 0 Determining an interpolation magnification D and a sampling interval M, comprising:
according to the target magnification factor D 0 Searching the interpolation magnification D and the sampling interval M from a preset first parameter list, wherein the first parameter list comprises the target magnification D 0 And the corresponding relation between the interpolation magnification factor D and the sampling interval M.
Optionally, the step S1 includes:
calculating the interpolation coordinate of the target pixel point in the interpolation picture frame
Wherein the content of the first and second substances,
optionally, the step S2 includes:
using a first formula
Determination of Q 1 And R 1 ，Q 1 Is the quotient of the first formula, R 1 Is the remainder of the first formula; in a second formula>
Determination of Q 2 And R 2 ，Q 2 Is the quotient of said second formula, R 2 Is the remainder of the second formula;
according to Q 1 And Q 2 Determining the target pixel point (k) in the original image i ,k j ) Adjacent four related original pixel points: (Q) 1 +1，Q 2 +1)、(Q 1 +1，Q 2 +2)、(Q 1 +2，Q 2 + 1) and (Q) 1 +2，Q 2 +2)；
Optionally, in step S3, the determining the pixel values of all target pixel points according to the coordinates of the relevant original pixel points and the pixel values of the relevant original pixel points includes:
according to R 1 、R 2 And interpolating the magnification D to determine the target pixel point (k) i ,k j ) And (Q) 1 +1，Q 2 + 1) lateral distance dx and longitudinal distance dy;
the transverse distance
Said longitudinal distance pick>
Or, according to R 1 、R 2 And the interpolation magnification factor D, searching the transverse distance dx and the longitudinal distance dy from a preset second parameter list; the second parameter list comprises R 1 、R 2 D with dx and dy.
Optionally, the interpolation coordinate, the related original pixel point coordinate, and the pixel value corresponding to the target pixel point carry identification information, where the identification information is used to indicate the interpolation coordinate, the related original pixel point coordinate, and the target pixel point corresponding to the pixel value.
In a second aspect of the present application, there is provided an image magnification terminal based on streaming data processing, the terminal comprising:
an information acquisition unit for acquiring an original image and a target magnification D of the original image 0 ，D 0 If the pixel number is more than 1, the pixel number of the original image is A multiplied by B, and A is the number of pixel points of each line of the original image; b is the number of each row of pixel points of the original image;
a first determining unit for determining the target magnification D 0 Determining an interpolation amplification factor D and a sampling interval M;
a second determining unit for determining a target magnification D based on the pixels A × B of the original image 0 Determining destination coordinates (k) of all target pixels of the target enlarged image i ,k j ) Wherein, in the step (A),
a data processing unit for processing the interpolation magnification D, the sampling interval M and the target coordinate (k) i ,k j ) Calculating the pixel values of all target pixel points through the steps S1 to S3:
s1, sequentially calculating interpolation coordinates of all target pixel points in an interpolation picture frame; after the interpolation coordinate of any one target pixel point is determined, the interpolation coordinate is transmitted to the step S2;
s2, calculating the related original pixel point coordinates of all the target pixel points in the original image according to the interpolation coordinates in sequence; after the coordinates of the related original pixel points of any one target pixel point are determined, the coordinates of the related original pixel points are transmitted to the step S3;
s3, determining pixel values of all target pixel points according to the related original pixel point coordinates and the pixel values of the related original pixel points in sequence;
and the image generation unit is used for generating a target amplified image when the pixel values of all target pixel points are acquired.
The technical scheme provided by the application comprises the following beneficial technical effects:
the application is based on interpolation magnification D, sampling interval M and target coordinate (k) i ,k j ) In the process of calculating the pixel value of each target pixel point in the target amplified image through the steps S1 to S3, the target coordinates are continuously transmitted to the step S1, the interpolation coordinates obtained through the calculation of the step S1 are continuously transmitted to the step S2, the coordinates of the related original pixel points obtained through the processing of the step S2 are continuously transmitted to the step S3, and the data continuously flow along the directions of the steps S1 to S3. The method has high data operation efficiency, short operation time, low consumption of terminal hardware resources, and is favorable for processing the dataThe service life of the terminal is prolonged while the running speed of the terminal is maintained.
Drawings
In order to more clearly describe the technical solution of the present application, the drawings required to be used in the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive labor.
Fig. 1 is a flowchart of an image enlarging method based on streaming data processing according to an embodiment of the present application.
Fig. 2 is an original image provided in an embodiment of the present application.
Fig. 3 is an enlarged image of a target provided in an embodiment of the present application.
Fig. 4 is a flowchart of another image enlarging method based on streaming data processing according to an embodiment of the present application.
Fig. 5 is an interpolated frame provided in an embodiment of the present application.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Example 1
Referring to fig. 1, a flowchart of an image magnifying method based on streaming data processing according to an embodiment of the present application includes steps S101 to S105. In this embodiment, an image enlarging method based on streaming data processing according to the present application will be described in detail, taking an original image with 4 × 4 pixels enlarged by 1.25 times as an example.
Step S101, obtaining an original image and a target enlargement of the original imageMultiple D 0 ，D 0 And if the number of the pixels of the original image is more than 1, the number of the pixels of each line of the original image is A multiplied by B, A is the number of the pixels of each line of the original image, and B is the number of the pixels of each column of the original image.
In this embodiment, a terminal acquires an original image, where pixels of the original image are 4 × 4, that is, the number of pixels in each row of the original image is 4, and the number of pixels in each column is also 4, specifically refer to fig. 2. Target magnification D of original image acquired by terminal 0 =1.25, the target magnification may be manually input by a keyboard, a touch screen, or the like, or may be obtained by recognizing an image magnification gesture on the touch screen, which is not limited in this application.
Step S102, according to the target magnification D 0 An interpolation magnification D and a sampling interval M are determined.
Alternatively, in the present application, step S102 may be implemented by the following method.
Judging the target magnification D 0 Whether the number is an integer;
if the magnification factor D is 0 Is an integer, then the interpolation magnification D = D 0 The sampling interval M =1.
If the target magnification D is 0 Is decimal, and
is an integer, then the interpolation magnification is
The sampling interval pick>
Wherein +>
For rounding down, e.g. based on>
If the target magnification D 0 Is decimal, and
in decimal, the interpolation magnification factor
The sampling interval pick>
In this embodiment, when the target magnification D is larger 0 Time = 1.25:
interpolation magnification
Sampling interval
Optionally, in the present application, step S102 may also be according to the target magnification D 0 Searching the interpolation magnification D and the sampling interval M from a preset first parameter list, wherein the first parameter list comprises the target magnification D 0 And the corresponding relation between the interpolation magnification factor D and the sampling interval M.
Step S103, according to the pixels A multiplied by B of the original image and the target magnification factor D 0 Determining the destination coordinates (k) of all target pixels of the target enlarged image i ,k j ) Wherein, in the process,
in this embodiment, the target coordinates of all target pixels of the target enlarged image are determined to be (k) based on 4 × 4 pixels of the original image i ,k j ) Wherein k is i ＝1,2,......,5；k j ＝1,2,......,5。
Step S104, according to the interpolation magnification factor D,The sampling interval M and the destination coordinate (k) i ,k j ) And calculating the pixel values of all target pixel points through the steps S1-S3. Please refer to fig. 4.
S1, sequentially calculating interpolation coordinates of all target pixel points in an interpolation picture frame; and after the interpolation coordinate of any one target pixel point is determined, transmitting the interpolation coordinate to the step S2.
The pixel value of the interpolation picture frame is DA multiplied by DB, wherein DA is the number of pixel points in each line of the interpolation picture frame, and DB is the number of pixel points in each row of the interpolation picture frame.
Calculating the interpolation coordinates of the target pixel points in the interpolation picture frame
The method comprises the following steps: calculating the abscissa of the interpolated coordinate ≥>
Calculating the ordinate of the interpolated coordinate
It should be noted that, in the present application, the target pixel points in the first row and the first column in the default target enlarged image are located in the first row and the first column in the interpolation frame.
In the present embodiment, the pixel value of the interpolation frame is 20 × 20, please refer to fig. 5 specifically. Taking a target pixel point with a target coordinate of (2,3) as an example, the abscissa X of the interpolation coordinate of the target pixel point i ＝1+(k i -1) · M =1+ (2-1) · 4=5; ordinate Y kj ＝1+(k j -1) · M =1+ (3-1) · 4=9. The coordinate of the target pixel point in the interpolated frame is (5,9).
And sequentially calculating the interpolation coordinate of each target pixel point in the interpolation picture frame according to the method, and after the interpolation coordinate of any one target pixel point is determined, transmitting the interpolation coordinate to the step S2. And then, continuously and sequentially calculating interpolation coordinates corresponding to the remaining target pixel points, and after the interpolation coordinate of any one target pixel point is determined, transmitting the interpolation coordinates to the step S2. And sequentially executing the steps until the interpolation coordinates of all the target pixel points are calculated.
Optionally, the interpolation coordinate carries identification information, and the identification information is used to indicate a target pixel point corresponding to the interpolation coordinate. Optionally, in this application, the identification information is a destination coordinate of the target pixel point.
It should be noted that, in the actual operation process of the method provided in the present application, the interpolation frame is not generated, the pixel value of each pixel point in the interpolation frame is not calculated, and the step S2 is performed only by the structural framework of the interpolation frame.
S2, calculating the related original pixel point coordinates of all the target pixel points in the original image according to the interpolation coordinates in sequence; and after the coordinates of the related original pixel points of any one target pixel point are determined, transmitting the coordinates of the related original pixel points to the step S3.
The step of calculating the coordinates of the related original pixel points of the target pixel points in the original image comprises the following steps: using a first formula
Determination of Q 1 And R 1 ，Q 1 Is the quotient of the first formula, R 1 Is the remainder of the first formula. Takes a second formula->
Determination of Q 2 And R 2 ，Q 2 Is the quotient of said second formula, R 2 Is the remainder of the second formula. According to Q 1 And Q 2 Determining the target pixel point (k) in the original image i ,k j ) Adjacent four related original pixel points: (Q) 1 +1，Q 2 +1)、(Q 1 +1，Q 2 +2)、(Q 1 +2，Q 2 + 1) and (Q) 1 +2，Q 2 +2)。
In this embodiment, taking the target pixel point with the target coordinate of (2,3) as an example, the first oneA formula
Has a quotient of 0 and a remainder of 4. A second formula +>
Has a quotient of 1 and a remainder of 3. Therefore, Q in the present embodiment 1 ＝0，R 1 ＝4；Q 2 ＝1，R 2 And =3. The four related original pixel points adjacent to the target pixel point with the target coordinate of (2,3) in the original image are: (1,2), (1,3), (2,3), and (2,4).
And (4) calculating the coordinates of the relevant original pixel points of each target pixel point in the original image according to the method in sequence, and after the coordinates of the relevant original pixel points of any one target pixel point are determined, transmitting the coordinates of the relevant original pixel points to the step (S3). And then, continuously and sequentially calculating the coordinates of the relevant original pixel points corresponding to the remaining target pixel points, and after the coordinate of the relevant original pixel point of any one target pixel point is determined, transmitting the coordinate of the relevant original pixel point to the step S3. And sequentially executing the steps until the coordinates of the related original pixel points of all the target pixel points are calculated.
Optionally, the interpolation coordinate carries identification information, and the identification information is used to indicate a target pixel point corresponding to the interpolation coordinate. Optionally, in this application, the identification information is a destination coordinate of the target pixel point.
And S3, determining the pixel values of all the target pixel points according to the coordinates of the related original pixel points and the pixel values of the related original pixel points in sequence.
In said step, according to R 1 、R 2 And determining the target pixel point (k) in the original image by the interpolation magnification factor D i ,k j ) And (Q) 1 +1，Q 2 + 1) transverse distance dx and longitudinal distance dy,
or, according to R 1 、R 2 And the interpolation magnification factor D, searching the transverse distance dx and the longitudinal distance dy from a preset second parameter list; the second parameter list comprises R 1 、R 2 D with dx and dy.
In this embodiment, the horizontal distance between the pixel point with the destination coordinate (2,3) and the associated original pixel point coordinate (1,2)
Longitudinal distance->
The pixel value of the target pixel point can be calculated through various algorithms such as a bilinear interpolation algorithm, a linear interpolation algorithm, a wavelet algorithm and the like, and the method is not limited by the application. In this embodiment, the pixel value of the target pixel point is calculated according to a bilinear interpolation algorithm, which is specifically described as follows.
Obtaining four related original pixel points (1,2), (1,3), (2,3) and (2,4) of a target pixel point in an original image, and pixel values I corresponding to the four related original pixel points 1 、I 2 、I 3 And I 4 。
The pixel value corresponding to the target pixel point with the target coordinate of (2,3) is:
I (2,3) ＝(1-dx)·(1-dy)·I 1 +dx·(1-dy)·I 2 +(1-dx)·dy·I 3 +dx·dy·I 4
in this embodiment, the pixel value of each dot may be RGB (Red Green Blue), and the RGB color pattern is a color standard in the industry, and various colors are obtained by changing three color channels of Red, green, and Blue and superimposing them on each other. Of course, the pixel value may be other forms of numerical values representing the image pixel, and the application is not limited thereto.
Optionally, the pixel value carries identification information, and the identification information is used to indicate a target pixel point corresponding to the pixel value. Optionally, in this application, the identification information is a destination coordinate of the target pixel point.
It is noted that in steps S1-S3, each step still adopts the mode of streaming data processing. For example, step S1 includes a plurality of computing processes, and all data needs to be executed in sequence for all the computing processes. After any one of the data executes one of the calculation processes, the next process is entered. And sequentially executing the processes until all the data are executed to finish all the calculation processes in the step S1.
Step S105, when the pixel values of all the target pixel points are obtained, a target amplified image is generated.
And matching the pixel value of each target pixel point obtained in the step S104 with the target pixel point to generate a target amplified image. In this embodiment, the target enlarged image may be generated by matching the identification information of the pixel value with the target pixel point.
To sum up, the method provided by the application has the advantages of high data operation efficiency, short operation time and low consumption of terminal hardware resources, is favorable for keeping the operation speed of the terminal, and prolongs the service life of the terminal.
Example 2:
the embodiment of the application provides an image amplification terminal based on streaming data processing, which comprises:
an information acquisition unit for acquiring an original image and a target magnification D of the original image 0 ，D 0 If the pixel number is more than 1, the pixel number of the original image is A multiplied by B, and A is the number of pixel points of each line of the original image; b is the number of each row of pixel points of the original image;
a first determining unit for determining the target magnification D 0 Determining an interpolation magnification factor D and a sampling interval M;
a second determining unit for determining a target magnification D based on the pixels A × B of the original image 0 Determining destination coordinates (k) of all target pixels of the target enlarged image i ,k j ) Wherein, in the step (A),
a data processing unit for processing the interpolated magnification D, the sampling interval M and the target coordinate (k) i ,k j ) Calculating the pixel values of all target pixel points through the steps S1-S3:
s1, sequentially calculating interpolation coordinates of all target pixel points in an interpolation picture frame; after the interpolation coordinate of any one target pixel point is determined, the interpolation coordinate is transmitted to the step S2;
s2, calculating the related original pixel point coordinates of all the target pixel points in the original image according to the interpolation coordinates in sequence; after the relevant original pixel point coordinates of any one target pixel point are determined, the relevant original pixel point coordinates are transmitted to the step S3;
s3, determining pixel values of all target pixel points according to the related original pixel point coordinates and the pixel values of the related original pixel points in sequence;
and the image generation unit is used for generating a target amplified image when the pixel values of all target pixel points are acquired.
Optionally, the first determining unit is further configured to:
judging the target magnification D 0 Whether the number is an integer;
if the magnification factor D is 0 Is an integer, then the interpolation magnification D = D 0 The sampling interval M =1;
if the target magnification D 0 Is decimal, and
is an integer, then the interpolation magnification is
The sampling spacing +>
If the target magnification D 0 Is smallIs counted, and
in decimal, the interpolation magnification factor
The sampling interval pick>
Optionally, the first determining unit is further configured to determine the target magnification D according to the target magnification 0 Searching the interpolation magnification D and the sampling interval M from a preset first parameter list, wherein the first parameter list comprises the target magnification D 0 And the corresponding relation between the interpolation magnification factor D and the sampling interval M.
Optionally, the data processing unit is further configured to calculate an interpolation coordinate of the target pixel point in the interpolation frame
Wherein it is present>
/>
Optionally, the data processing unit is further configured to:
using a first formula
Determination of Q 1 And R 1 ，Q 1 Is the quotient of the first formula, R 1 Is the remainder of the first formula; takes a second formula->
Determination of Q 2 And R 2 ，Q 2 Is the quotient, R, of said second formula 2 Is the remainder of the second formula;
according to Q 1 And Q 2 Determining the target pixel in the original imagePoint (k) i ,k j ) Adjacent four related original pixel points: (Q) 1 +1，Q 2 +1)、(Q 1 +1，Q 2 +2)、(Q 1 +2，Q 2 + 1) and (Q) 1 +2，Q 2 +2)；
Optionally, the data processing unit is further configured to:
according to R 1 、R 2 And interpolating the magnification D to determine the target pixel point (k) i ,k j ) And (Q) 1 +1，Q 2 + 1) lateral distance dx and longitudinal distance dy;
the transverse distance
Said longitudinal distance pick>
Or, according to R 1 、R 2 And the interpolation magnification factor D, searching the transverse distance dx and the longitudinal distance dy from a preset second parameter list; the second parameter list comprises R 1 、R 2 D with dx and dy.
Optionally, the interpolation coordinate, the related original pixel point coordinate, and the pixel value corresponding to the target pixel point carry identification information, where the identification information is used to indicate the interpolation coordinate, the related original pixel point coordinate, and the target pixel point corresponding to the pixel value.
It is to be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be understood that the present application is not limited to what has been described above and shown in the accompanying drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (6)
1. An image magnification method based on streaming data processing, the method comprising:
obtaining an original image and a target magnification D of the original image 0 ，D 0 If the pixel number is more than 1, the pixel number of the original image is A multiplied by B, and A is the number of pixel points of each line of the original image; b is the number of each row of pixel points of the original image;
according to the target magnification factor D 0 Determining an interpolation magnification factor D and a sampling interval M, specifically comprising:
judging the target magnification D 0 Whether the number is an integer;
if the magnification factor D is 0 Is an integer, then the interpolation magnification D = D 0 The sampling interval M =1;
if the target magnification D 0 Is decimal, and
is an integer, then the interpolation magnification is
The sampling interval pick>
If the target magnification D 0 Is decimal, and
in decimal, the interpolation magnification factor
The sampling interval pick>
Wherein it is present>
Is a rounded-down character;
according to the pixels A x B of the original image and the target magnification D 0 Determining destination coordinates (k) of all target pixels of the target enlarged image i ,k j ) Wherein, in the step (A),
according to the interpolation magnification D, the sampling interval M and the target coordinate (k) i ,k j ) Calculating the pixel values of all target pixel points through the steps S1 to S3:
s1, sequentially calculating interpolation coordinates of all target pixel points in an interpolation picture frame; after the interpolation coordinate of any one target pixel point is determined, the interpolation coordinate is transmitted to the step S2;
s2, calculating the related original pixel point coordinates of all the target pixel points in the original image according to the interpolation coordinates in sequence; after the coordinates of the related original pixel points of any one target pixel point are determined, the coordinates of the related original pixel points are transmitted to the step S3;
s3, determining the pixel values of all the target pixel points according to the coordinates of the related original pixel points and the pixel values of the related original pixel points in sequence;
when the pixel values of all target pixel points are obtained, a target amplified image is generated;
in step S1 to step S3, each step adopts a streaming data processing mode.
2. The streaming-data-processing-based image magnification method as recited in claim 1, wherein the step S1 includes:
calculating the interpolation coordinates of the target pixel points in the interpolation picture frame
Wherein the content of the first and second substances,
3. the image magnification method based on streaming data processing according to claim 2, wherein the step S2 includes:
using a first formula
Determination of Q 1 And R 1 ，Q 1 Is the quotient of the first formula, R 1 Is the remainder of the first formula; takes a second formula->
Determination of Q 2 And R 2 ，Q 2 Is the quotient of said second formula, R 2 Is the remainder of the second formula; />
According to Q 1 And Q 2 Determining the target pixel point (k) in the original image i ,k j ) Adjacent four related original pixel points: (Q) 1 +1，Q 2 +1)、(Q 1 +1，Q 2 +2)、(Q 1 +2，Q 2 + 1) and (Q) 1 +2，Q 2 +2)。
4. The streaming-data-processing-based image magnification method as recited in claim 3, wherein the step S3 comprises:
according to R 1 、R 2 And determining the target pixel point (k) by the interpolation magnification D i ,k j ) And (Q) 1 +1，Q 2 + 1) lateral distance dx and longitudinal distance dy;
the transverse distance
Said longitudinal distance pick>
Or, according to R 1 、R 2 And the interpolation magnification factor D, searching the transverse distance dx and the longitudinal distance dy from a preset second parameter list; the second parameter list comprises R 1 、R 2 D with dx and dy.
5. The image amplification method based on streaming data processing according to claim 1, wherein the interpolation coordinates, the related original pixel point coordinates, and the pixel value corresponding to the target pixel point carry identification information, and the identification information is used to indicate the interpolation coordinates, the related original pixel point coordinates, and the target pixel point corresponding to the pixel value.
6. An image amplification terminal based on streaming data processing, comprising:
an information acquisition unit for acquiring an original image and a target magnification D of the original image 0 ，D 0 If the pixel number is more than 1, the pixel number of the original image is A multiplied by B, and A is the number of pixel points of each line of the original image; b is the number of each row of pixel points of the original image;
a first determining unit for determining the target magnification D 0 Determining interpolation magnification D and sampling interval M, in particularFor:
judging the target magnification D 0 Whether it is an integer;
if the magnification factor D is 0 Is an integer, then the interpolation magnification D = D 0 The sampling interval M =1;
if the target magnification D 0 Is decimal, and
is an integer, then the interpolation magnification is
The sampling interval pick>
If the target magnification D 0 Is decimal, and
in decimal, the interpolation magnification factor
The sampling interval pick>
Wherein +>
Is a rounded-down character;
a second determination unit for determining a target magnification D based on the pixels A × B of the original image 0 Determining the destination coordinates (k) of all target pixels of the target enlarged image i ,k j ) Wherein, in the step (A),
a data processing unit for processing the interpolation magnification D, the sampling interval M and the target coordinate (k) i ,k j ) Calculating the pixel values of all target pixel points through the steps S1 to S3:
s1, sequentially calculating interpolation coordinates of all target pixel points in an interpolation picture frame; after the interpolation coordinate of any one target pixel point is determined, the interpolation coordinate is transmitted to the step S2;
s2, calculating the related original pixel point coordinates of all the target pixel points in the original image according to the interpolation coordinates in sequence; after the coordinates of the related original pixel points of any one target pixel point are determined, the coordinates of the related original pixel points are transmitted to the step S3;
s3, determining pixel values of all target pixel points according to the related original pixel point coordinates and the pixel values of the related original pixel points in sequence;
the image generation unit is used for generating a target amplified image when pixel values of all target pixel points are acquired;
in step S1 to step S3, each step adopts a streaming data processing mode.
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