CN115439563A - Image interpolation method, device, equipment and computer readable storage medium - Google Patents
Image interpolation method, device, equipment and computer readable storage medium Download PDFInfo
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Abstract
The application provides an image interpolation method, device, equipment and computer readable storage medium; the method comprises the following steps: acquiring an initial image to be processed and a color coding value of each pixel point in the initial image; calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point in the initial image, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value; determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated; determining a color coding value of a target pixel point associated with a pixel point to be interpolated according to an interpolation rule, and performing interpolation operation to obtain a target image; according to the method and the device, various interpolation rules are preset, the corresponding interpolation rule is selected according to the state parameters of the pixel points to be interpolated, the interpolation can be effectively prevented from generating sawteeth, the interpolation effect is better, and meanwhile, the data processing amount is small, and the interpolation efficiency is high.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an image interpolation method, apparatus, device, and computer-readable storage medium.
Background
With the rapid development of computer technology, people have more and more severe requirements on images, and image processing becomes more and more important.
For example, in a photographing function of a mobile phone, a background blurring function can be implemented through image processing, a background blurring picture with a clear foreground is photographed, the image blurring is implemented by performing pixel-by-pixel blurring filtering on the image, and after filtering the small-size image, the small-size image needs to be interpolated and enlarged to the original size. Common image interpolation methods are: nearest neighbor interpolation, bilinear interpolation and bicubic spline interpolation; the nearest neighbor interpolation method can generate jaggy at the edge of the image, and the visual effect of blurring is influenced; the bilinear interpolation method only considers the spatial similarity between pixel points and does not consider the color similarity, and color difference or diffusion is easily generated in places with color mutation; the operation amount of the bi-cubic spline interpolation method is too large, and the bi-cubic spline interpolation method is not suitable for interpolation processing at a terminal.
Disclosure of Invention
The application provides an image interpolation method, an image interpolation device, image interpolation equipment and a computer readable storage medium, and aims to solve the technical problem that an existing image interpolation blurring image is poor in effect.
In one aspect, the present application provides an image interpolation method, including:
acquiring an initial image to be processed and a color coding value of each pixel point in the initial image;
calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point in the initial image, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value;
determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated;
and determining the color coding value of the target pixel point related to the pixel point to be interpolated according to the interpolation rule, and performing interpolation operation to obtain a target image.
In another aspect, the present application provides an image interpolation apparatus including:
the acquisition module is used for acquiring an initial image to be processed and the color coding value of each pixel point in the initial image;
the calculation module is used for calculating a color coding difference value between every two adjacent pixel points according to the color coding value of each pixel point in the initial image and setting a state parameter of the pixel point to be interpolated according to the color coding difference value;
the determining module is used for determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated;
and the interpolation module is used for determining the color coding value of the pixel point to be interpolated associated with the target pixel point according to the interpolation rule and carrying out interpolation operation to obtain the target image.
In another aspect, the present application further provides an image interpolation apparatus, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps in the image interpolation method described above are implemented.
In another aspect, the present application further provides a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps in the image interpolation method described above.
The technical scheme of the embodiment of the application comprises the following steps: acquiring an initial image to be processed and a color coding value of each pixel point in the initial image; calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point in the initial image, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value; determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated; determining a color coding value of a target pixel point associated with a pixel point to be interpolated according to an interpolation rule, and performing interpolation operation to obtain a target image; in the method, various interpolation rules are preset and set according to color similarity, color coding values of all pixel points are analyzed to determine state parameters during image interpolation, corresponding interpolation rules are selected according to the state parameters of the pixel points to be interpolated, and different interpolation rules are adopted at different positions of the same image.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to derive other drawings without creative efforts.
FIG. 1 is a scene schematic diagram of an image interpolation method provided in an embodiment of the present application;
FIG. 2 is a flowchart illustrating an embodiment of an image interpolation method provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of a target image obtained by image interpolation according to the prior art;
FIG. 4 is a schematic diagram of a target image obtained by performing image interpolation according to an image interpolation method in an embodiment of the present application;
FIG. 5 is a schematic flow chart illustrating an embodiment of setting a state parameter in an image interpolation method according to an embodiment of the present disclosure;
FIG. 6 is a flowchart illustrating an embodiment of updating an image interpolation rule in the image interpolation method provided in the embodiment of the present application;
FIG. 7 is a schematic flowchart of another embodiment of image interpolation in the image interpolation method provided in the embodiment of the present application;
FIG. 8 is a flowchart illustrating an embodiment of verifying interpolation results in the image interpolation method provided in the embodiment of the present application;
FIG. 9 is a schematic structural diagram of an embodiment of an image interpolation apparatus provided in an embodiment of the present application;
fig. 10 is a schematic structural diagram of an embodiment of an image interpolation apparatus provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, merely for convenience of description and simplicity of description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes are not set forth in detail in order to avoid obscuring the description of the present invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
Embodiments of the present application provide an image interpolation method, an image interpolation device, an image interpolation apparatus, and a computer-readable storage medium, which are described in detail below.
The image interpolation method in the embodiment of the invention is applied to an image interpolation device which is arranged in an image interpolation device, wherein one or more processors, a memory and one or more application programs are arranged in the image interpolation device, and the one or more application programs are stored in the memory and are configured to be executed by the processor to realize the image interpolation method; the image interpolation device may be a terminal, for example, a mobile phone or a tablet computer, and the image interpolation device may also be a server or a service cluster formed by multiple servers.
As shown in fig. 1, fig. 1 is a schematic view of a scene of an image interpolation method according to an embodiment of the present application, where an image interpolation apparatus 100 (an image interpolation device is integrated in the image interpolation apparatus 100) is included in an image interpolation scene in the embodiment of the present invention, and a computer readable storage medium corresponding to image interpolation is run in the image interpolation apparatus 100 to perform a step of image interpolation.
It should be understood that, the image interpolation device in the scene of the image interpolation method shown in fig. 1 or the apparatus included in the image interpolation device do not limit the embodiment of the present invention, that is, the number of devices and the type of devices included in the scene of the image interpolation method, or the number of devices and the type of devices included in each device do not affect the overall implementation of the technical solution in the embodiment of the present invention, and can be calculated as equivalent replacements or derivatives of the technical solution claimed in the embodiment of the present invention.
The image interpolation apparatus 100 in the embodiment of the present invention is mainly used for: acquiring an initial image to be processed and a color coding value of each pixel point in the initial image; calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value; determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated; and determining the color coding value of the target pixel point related to the pixel point to be interpolated according to the interpolation rule, and performing interpolation operation to obtain a target image.
The image interpolation device 100 in the embodiment of the present invention may be an independent image interpolation device, or may be an image interpolation device network or an image interpolation device cluster composed of image interpolation devices, for example, the image interpolation device 100 described in the embodiment of the present invention includes, but is not limited to, a computer, a network host, a single network image interpolation device, a plurality of network image interpolation device sets, or a cloud image interpolation device composed of a plurality of image interpolation devices. Among them, the cloud image interpolation device is constituted by a large number of computers based on cloud computing (cloud computing) or a network image interpolation device.
Those skilled in the art will understand that the application environment shown in fig. 1 is only one application scenario related to the present application, and does not constitute a limitation on the application scenario of the present application, and that other application environments may further include more or less image interpolation devices than those shown in fig. 1, or a network connection relationship of image interpolation devices, for example, only 1 image interpolation device is shown in fig. 1, and it will be understood that the scenario of the image interpolation method may further include one or more other image interpolation devices, which is not limited herein; the image interpolation apparatus 100 may further include a memory for storing data, for example, image information obtained by shooting, and the like.
In addition, in the scene of the image interpolation method of the present application, the image interpolation apparatus 100 may be provided with a display device, or the image interpolation apparatus 100 is not provided with a display device in communication connection with an external display device 200, and the display device 200 is configured to output a result of the execution of the image interpolation method in the image interpolation apparatus. The image interpolation device 100 may access a background database 300 (the background database may be in a local memory of the image interpolation device, and may also be set in the cloud), and information related to image interpolation is stored in the background database 300, for example, a preset interpolation rule is stored in the background database 300.
It should be noted that the scene schematic diagram of the image interpolation method shown in fig. 1 is only an example, and the scene of the image interpolation method described in the embodiment of the present invention is for more clearly explaining the technical solution of the embodiment of the present invention, and does not constitute a limitation to the technical solution provided in the embodiment of the present invention.
Based on the scene of the image interpolation method, the embodiment of the image interpolation method is provided.
As shown in fig. 2, fig. 2 is a schematic flowchart of an embodiment of an image interpolation method in an embodiment of the present application, where the image interpolation method includes the following steps 201 to 204:
201. and acquiring an initial image to be processed and a color coding value of each pixel point in the initial image.
The image interpolation method in this embodiment is applied to an image interpolation device, and the type and number of the image interpolation devices are not particularly limited, that is, the image interpolation device may be a terminal or a server, for example, the image interpolation device is a mobile phone.
The image interpolation device acquires an initial image to be processed, the initial image is an original image needing interpolation processing, the format and the size of the initial image are not limited, the image interpolation device judges whether the initial image is a YUV format image, wherein Y in the YUV format represents brightness, namely a gray level value, and U and V represent chroma and are used for describing image color and saturation and specifying the color of a pixel; if the initial image is a YUV format image, the image interpolation equipment acquires the color coding value of each pixel point in the initial image, wherein the color coding value refers to the coding value representing the brightness and the chromaticity of the image; if the initial image is not the YUV format image, the image interpolation device converts the initial image which is not the YUV format image into the YUV format image, and then obtains the color coding value of each pixel point in the initial image.
For convenience of understanding by a user, in this embodiment, a specific implementation manner is provided for acquiring a color coding value of each pixel point in an initial image after the initial image not in the YUV format is converted into the YUV format image, and step 201 includes:
(1) Acquiring the three color values of each pixel point in the initial image;
(2) Assigning the three color values of all the pixel points in the initial image to a preset encoding formula to obtain the color encoding value of all the pixel points in the initial image, wherein the preset encoding formula is as follows:
Y＝((66*R+129*G+25*B)>>8)+16
U＝((-38*R-74*G+112*B)>>8)+128
V＝((112*R-94*G-18*B)>>8)+128
where Y, U, and V represent color-coded values, and R, G, and B represent tristimulus values.
In this embodiment, the format of the initial image is RGB format, and the RGB format means that an RGB model is used to assign an intensity value in the range of 0 to 255 to the RGB component of each pixel in the image. For example: a pure red R value of 255, a G value of 0, and a B value of 0; the three values of R, G, B for gray are equal (except 0 and 255); white R, G and B are all 255; all of R, G, and B in black are 0.
The image interpolation device acquires a tristimulus value of each pixel point in an initial image in an RGB format, and calculates a color coding value of each pixel point, wherein a coding formula is preset in the image interpolation device in the embodiment, and the preset coding formula refers to a coding formula for converting the RGB format into a YUV format; the image interpolation device acquires an initial image to be processed and the tristimulus values of all pixel points in the initial image, and assigns the tristimulus values of all the pixel points to a preset encoding formula to obtain the color encoding values of all the pixel points.
In this embodiment, the image interpolation device converts the tristimulus values of each pixel point of the initial image into color coded values, so that the effect of the later-stage image interpolation is better, specifically:
202. and calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point in the initial image, and setting the state parameter of the pixel point to be interpolated according to the color coding difference value.
The image interpolation device calculates a color coding difference value between the pixel points according to the color coding value of each pixel point, that is, in this embodiment, the image interpolation device sequentially takes each pixel point as a pixel point to be interpolated, the image interpolation device compares the color coding value of the pixel point to be interpolated with the color coding value of a neighborhood pixel point around the pixel point to be interpolated, and calculates the color coding difference value between the pixel point to be interpolated and the neighborhood pixel point, wherein the color coding difference value is used for representing a parameter indicating whether interpolation operation is performed around the pixel point to be interpolated, for example, the color coding difference value is greater than a certain set value, and the image interpolation device determines to perform interpolation operation; and if the color coding difference value is less than or equal to a certain set value, the image interpolation equipment determines not to carry out interpolation operation.
After the image interpolation device obtains the color coding difference between the pixel points, the image interpolation device integrates the color coding difference to obtain a state parameter, where the state parameter is an evaluation synthesis parameter of each pixel point to be interpolated and a neighbor pixel point thereof, and specifically, the state parameter may be flexibly set according to a specific situation, for example, the state parameter is a sum of the color coding differences, and the state parameter is a result obtained by adding the color coding difference to a specific formula for calculation.
In this embodiment, the image interpolation device calculates a color coding difference between a pixel point to be interpolated and an adjacent pixel point thereof, preliminarily determines whether to perform an interpolation operation on the pixel point, then integrates the color coding difference to obtain a status parameter, and determines different interpolation rules according to the status parameter, specifically:
203. and determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated.
An interpolation rule set is preset in the image interpolation device, the interpolation rule set comprises different interpolation rules, the mapping relation between the interpolation rules and the state parameters is preset in the image interpolation device, and the image interpolation device determines the interpolation rules corresponding to the state parameters of the pixel points to be interpolated according to the mapping relation.
In this embodiment, a plurality of image interpolation rules are preset, the image interpolation device calculates a color coding difference between a pixel to be interpolated and a pixel in the neighborhood of the pixel, and determines a state parameter according to the color coding difference, so that different pixel to be interpolated have different determined state parameters, and selects an interpolation rule according to different state parameters, so that different pixel to be interpolated in an initial image select different interpolation rules, thereby realizing dynamic and flexible interpolation, and making image interpolation more reasonable.
204. And determining the color coding value of the target pixel point related to the pixel point to be interpolated according to the interpolation rule, and performing interpolation operation to obtain a target image.
The image interpolation device performs interpolation operation on each pixel point in the traversal initial image, and finally obtains the target image.
For convenience of understanding, two images after interpolation processing are provided in the present embodiment, as shown in fig. 3 and the drawings, fig. 3 is a schematic diagram of a target image obtained by image interpolation according to the prior art; fig. 4 is a schematic diagram of a target image obtained by performing image interpolation according to an image interpolation method in the embodiment of the present application.
In the embodiment of the application, various interpolation rules are preset, the interpolation rules are set according to color similarity, color coding values of all pixel points are analyzed to determine state parameters during image interpolation, corresponding interpolation rules are selected according to the state parameters of the pixel points to be interpolated, different interpolation rules are adopted at different positions of the same image, interpolation operation can be effectively prevented from generating sawteeth during interpolation operation by analyzing the color similarity and the space information of the image, the image interpolation effect is better, meanwhile, the interpolation rules can be quickly determined due to the fact that the state parameters and the interpolation rules are set to be correlated, data processing amount is small during image interpolation operation, image interpolation efficiency is high, and the requirement on hardware of image interpolation equipment is low.
As shown in fig. 5, fig. 5 is a schematic flowchart of an embodiment of setting a state parameter in an image interpolation method according to the embodiment of the present application.
In the embodiment of the present application, the state parameters are parameters used for representing comprehensive information of a pixel point to be interpolated, the state parameters are formed by integrating color coding difference values, in the embodiment, corresponding interpolation rules can be set according to different state parameters, so that image interpolation is more reasonable, and for understanding, in some embodiments of the present application, a specific setting step of the state parameters is provided, including 301 to 302:
301. and sequentially taking all pixel points in the initial image as pixel points to be interpolated, taking pixel points adjacent to the pixel points to be interpolated as field pixel points, and calculating the color coding difference between the pixel points to be interpolated and all the adjacent pixel points.
And in the image interpolation, all pixel points in the initial image are sequentially used as pixel points to be interpolated, pixel points adjacent to the pixel points to be interpolated are used as neighborhood pixel points, and the color coding difference value between the color coding value of the pixel points to be interpolated and the color coding value of each neighborhood pixel point is calculated.
For example, in this embodiment, the image interpolation device selects a pixel point with an image coordinate (i, j) as a pixel point to be interpolated, and the image interpolation device acquires pixel points around the pixel point to be interpolated as neighbor pixel points, as shown in the following table, a coordinate position of W5 in the following table is (i, j) representing the pixel point to be interpolated, and W1, W2, W3, W4, W6, W7, W8, and W9 represent the neighbor pixel points of the pixel point to be interpolated.
| W1 | W2 | W3 |
| W4 | W5 | W6 |
| W7 | W8 | W9 |
The image interpolation device obtains color coding values of pixel points to be interpolated and color coding values of each neighborhood pixel point, and the image interpolation device calculates color coding differences between the color coding values of the pixel points to be interpolated and the color coding values of the neighborhood pixel points, for example, the image interpolation device calculates eight color coding differences by taking the color coding values of W1, W2, W3, W4, W6, W7, W8 and W9 as subtractions and taking the color coding value of W5 as a subtraction.
302. And comparing the color coding difference value with a preset difference threshold value to obtain the state parameter of the pixel point to be interpolated.
The image interpolation device is used for comparing each color coding difference value with the preset difference threshold value to obtain a plurality of comparison results, and integrating the comparison results to serve as state parameters of pixel points to be interpolated so as to determine interpolation rules corresponding to the pixel points to be interpolated according to state reference.
Specifically, step 302 includes:
(1) Comparing the color coding difference values with preset difference threshold values respectively according to a preset comparison formula to obtain comparison results; wherein, the color coding difference value is larger than the preset difference threshold value, and the comparison result is recorded as yes; the color coding difference value is less than or equal to a preset difference threshold value, and the comparison result is marked as not;
(2) Sequencing and converting each comparison result into binary numbers, and taking the binary numbers as state parameters of the pixel points to be interpolated; wherein, the preset comparison formula is as follows:
S＝(abs(Y-Yp)>delta Y )|(abs(U-Up)>delta U )|(abs(V-Vp)>delta V ) S represents a comparison result, Y, U and V represent color coding values of neighborhood pixel points, yp, up and Vp represent color coding values of pixel points to be interpolated, abs (Y-Yp), abs (U-Up) and abs (V-Vp) represent neighborhood pixel points and pixels to be interpolatedThe color-coded difference between the dots, deltaY, deltaU, and deltaV, represents a preset disparity threshold, which is set, for example, to deltaY =48, deltaU =7, deltaV =6.
That is, a preset comparison formula is preset in the image interpolation device, where the preset comparison formula includes parameters such as a color code difference value and a preset difference threshold, and the image interpolation device compares the color code difference value with the preset difference threshold to obtain a comparison result, for example, in this embodiment, the color code value of a pixel to be interpolated in the image interpolation device is subjected to difference operation with the color code values of eight neighborhood pixels to obtain eight color code difference values, and further, the image interpolation device compares the eight color code difference values with the preset difference threshold to obtain eight comparison results, and if the color code difference value is greater than the preset difference threshold, the comparison result is recorded as "1"; if the color coding difference is smaller than or equal to the preset difference threshold, the comparison result is marked as not "0", in this embodiment, the comparison result may be 1 or 0, the comparison result is 1 indicating that the interpolation operation is performed at the position corresponding to the pixel to be interpolated, and the comparison result is 0 indicating that the interpolation operation is not performed at the position corresponding to the pixel to be interpolated.
The image interpolation device arranges the eight comparison results and converts the eight comparison results into binary numbers, and the image interpolation device takes the binary numbers as state parameters of the pixel points to be interpolated, for example, in the embodiment, an eight-bit binary number is formed as the state parameters, and the eight-bit binary number corresponds to 256 states.
As shown in fig. 6, fig. 6 is a schematic flowchart of an embodiment of updating an image interpolation rule in the image interpolation method provided in the embodiment of the present application.
In some embodiments of the present application, the step of setting the interpolation rule is specifically described, and includes 401 to 403:
401. and receiving an interpolation rule updating request, and acquiring the image sample and the color coding value of each pixel point in the image sample.
The image interpolation device receives an interpolation rule update request, where the triggering manner of the interpolation rule update request is not specifically limited, and the interpolation rule update request may be triggered manually by a user, for example, the user clicks in a display interface of the image interpolation device: the 'rule update' triggers an interpolation rule update request; further, the interpolation rule update request may be automatically triggered by the image interpolation device, for example, the interpolation rule is updated once per week is set in the image interpolation device in advance, and the image interpolation device automatically triggers the interpolation rule update request when the set time is detected.
After the image interpolation device receives the image interpolation update request, the image interpolation device obtains an image sample and a color coding value of each pixel point in the image interpolation sample, the image sample obtained by the image interpolation device in this embodiment is not limited, and the image interpolation device analyzes the color coding value of each pixel point in the image sample to summarize an interpolation rule, specifically:
402. and taking all pixel points in the image sample as pixel points to be interpolated in sequence, counting the color coding values of the pixel points to be interpolated and the adjacent pixel points, and fitting to form an interpolation rule.
The image interpolation device takes all pixel points in an image sample as pixel points to be interpolated in sequence, the image interpolation device takes adjacent pixel points of the pixel points to be interpolated as neighborhood pixel points, the image interpolation device counts the color coding value of the pixel points to be interpolated and the color coding value of the adjacent pixel points, and the image interpolation device fits the color coding value of the pixel points to be interpolated and the color coding value of the adjacent pixel points to form an interpolation rule.
For ease of understanding, 10 interpolation rules are given in this example, as follows:
(1)、p＝(c1*3+c2)>>2
(2)、p＝(c1*2+c2+c3)>>2
(3)、p＝(c1*7+c2)>>3
(4)、p＝(c1*2+(c2+c3)*7)>>4
(5)、p＝(c1+c2)>>1
(6)、p＝(c1*5+c2*2+c3)>>3
(7)、p＝(c1*6+c2+c3)>>3
(8)、p＝(c1*5+c2*3)>>3
(9)、p＝(c1*2+(c2+c3)*3)>>3
(10)、p＝(c1*14+c2+c3)>>4
the color coding value of the pixel point to be interpolated is represented by c1, the color coding values of the neighborhood pixel points of the pixel point to be interpolated are represented by c2 and c3, and the color coding value corresponding to a small-size pixel point associated with the pixel point to be interpolated is represented by p.
403. Acquiring a preset state parameter of a pixel point to be interpolated, and storing an interpolation rule and the state parameter of the pixel point to be interpolated into a preset parameter mapping table in a correlated manner.
The image interpolation device obtains a preset state parameter of a pixel to be interpolated, and the image interpolation device stores an interpolation rule of the pixel to be interpolated and the state parameter of the pixel to be interpolated in a preset parameter mapping table in a related mode, wherein the preset parameter mapping table refers to a mapping table of the state parameter and the interpolation rule.
Further, determining an interpolation rule corresponding to the state parameter of the pixel to be interpolated includes:
and querying a preset parameter mapping table to obtain an interpolation rule corresponding to the state parameter of the pixel point to be interpolated.
The image interpolation equipment in the embodiment can update the interpolation rule in real time, so that the image interpolation rule is more optimized, meanwhile, the preset parameter mapping table is set, and the image interpolation equipment acquires the interpolation rule according to the state parameter, so that the data processing is more efficient, and the efficiency of the image interpolation operation is increased.
As shown in fig. 7, fig. 7 is a schematic flowchart of another embodiment of image interpolation in the image interpolation method provided in the embodiment of the present application.
In some embodiments of the present application, a method for image interpolation by twice enlarging an initial image is specifically described, further including the following steps 501 to 503:
501, obtaining an interpolation calculation formula associated with an interpolation rule, and obtaining color coding values of a pixel point to be interpolated and an adjacent pixel point.
The image interpolation device obtains an interpolation rule of a pixel point to be interpolated and an interpolation calculation formula associated with the interpolation rule, the image interpolation device obtains a color coding value of the pixel point to be interpolated and a neighborhood pixel point of the pixel point to be interpolated, the image interpolation device obtains the color coding value of the neighborhood pixel point, in this embodiment, the image interpolation device obtains the pixel point to be interpolated and the neighborhood pixel point of the pixel point to be interpolated to determine interpolation by taking the color coding value of the pixel point to be interpolated and the neighborhood pixel point of the pixel point to be interpolated and the color coding value of the neighborhood pixel point as independent variables, specifically:
502. and inputting the color coding values of the pixel points to be interpolated and the adjacent pixel points thereof into an interpolation calculation formula to obtain the color coding value of the pixel point to be interpolated and the target pixel point, and adding the color coding value of the target pixel point to the neighborhood of the pixel point to be interpolated to perform interpolation operation.
The image interpolation device inputs the color coding value of the pixel point to be interpolated and the color coding value of the neighborhood pixel point into the interpolation calculation formula, obtains the color coding value of the target pixel point associated with the pixel point to be interpolated, and performs interpolation operation in which the interpolation calculation formula in this embodiment is associated with the interpolation rule, for example,
pc 1 ＝(w5*2+w4+w2)>>2
pc 2 ＝(w5*2+w2+w6)>>2
pc 3 ＝(w5*2+w8+w4)>>2
pc 4 ＝(w5*2+w6+w8)>>2
pc in interpolation formula 1 、pc 2 、pc 3 And pc 4 The color coding values of 4 associated target pixel points of the pixel points to be interpolated are represented, W5 represents the pixel points to be interpolated, W2, W4 and W8 represent the color coding values of the neighborhood pixel points, and partial or all domain pixel points of the pixel points to be interpolated can be selected in the interpolation calculation formula for calculation. For example, the binary system obtained by comparing the color of the pixel to be interpolated with the color of the pixel in the 8-neighborhood is 00010001, the decimal number is 17, and at this time, an interpolation rule 2 is adopted to obtain four new pixels (one pixel to be interpolated corresponds to 4 new pixels after interpolation by amplifying 2 times).
503. And traversing each pixel point in the initial image to perform interpolation operation to obtain a target image.
The image interpolation device traverses each pixel point in the initial image to perform interpolation operation to obtain a target image, and in this embodiment, one interpolation rule is set with different interpolation calculation formulas correspondingly, so that the interpolated image better conforms to high quality.
Referring to fig. 8, fig. 8 is a schematic flowchart of an embodiment of verifying an interpolation result in the image interpolation method provided in the embodiment of the present application.
In some embodiments of the present application, the step of detecting image interpolation is specifically described, and includes the following steps 601 to 602:
601. and respectively inputting the initial image and the target image into a preset image recognition model for processing, and outputting a first recognition result and a second recognition result.
An image recognition model is preset in the image interpolation device, wherein the image recognition model refers to a preset image recognition algorithm obtained through deep neural network training, for example, the image recognition model may be a contour recognition algorithm, and the image interpolation device inputs an initial image and a target image into the preset image recognition model respectively to obtain a first recognition result and a second recognition result.
602. And if the first recognition result is different from the second recognition result, outputting an interpolation rule updating prompt.
And the image interpolation equipment compares the first recognition result with the second recognition result, outputs a prompt of finishing interpolation if the first recognition result is the same as the second recognition result, and outputs a prompt of updating the interpolation rule if the first recognition result is different from the second recognition result.
In the embodiment, after the image interpolation, the initial image and the target image before and after the interpolation are input to the preset identification model for identification to obtain the first identification result and the second identification result, so that whether the image interpolation is accurate can be accurately judged according to the first identification result and the second identification result, and when the image interpolation operation is not accurate, a user can be prompted to update the interpolation rule, so that the image interpolation is more accurate.
In order to better implement the image interpolation method in the embodiment of the present application, on the basis of the image interpolation method, an image interpolation apparatus is further provided in the embodiment of the present application, as shown in fig. 9, fig. 9 is a schematic structural diagram of an embodiment of the image interpolation apparatus, and the image interpolation apparatus includes the following modules 701 to 704:
an obtaining module 701, configured to obtain an initial image to be processed and a color coding value of each pixel point in the initial image;
a calculating module 702, configured to calculate a color coding difference between adjacent pixels according to a color coding value of each pixel in the initial image, and set a state parameter of the pixel to be interpolated according to the color coding difference;
a determining module 703, configured to determine an interpolation rule corresponding to a state parameter of a pixel to be interpolated;
and the interpolation module 704 is used for determining the color coding value of the pixel point to be interpolated associated with the target pixel point according to the interpolation rule and performing interpolation operation to obtain the target image.
In some embodiments of the present application, the obtaining module 701 includes:
obtaining the tristimulus values of all pixel points in the initial image;
assigning the three color values of each pixel point in the initial image to a preset encoding formula to obtain the color encoding value of each pixel point in the initial image, wherein the preset encoding formula is as follows:
Y＝((66*R+129*G+25*B)>>8)+16
U＝((-38*R-74*G+112*B)>>8)+128
V＝((112*R-94*G-18*B)>>8)+128
where Y, U, and V represent color-coded values, and R, G, and B represent tristimulus values.
In some embodiments of the present application, the calculation module 702 is specifically configured to:
sequentially taking all pixel points in the initial image as pixel points to be interpolated, taking pixel points adjacent to the pixel points to be interpolated as field pixel points, and calculating the color coding difference between the pixel points to be interpolated and all the adjacent pixel points;
and comparing the color coding difference value with a preset difference threshold value to obtain the state parameter of the pixel point to be interpolated.
In some embodiments of the present application, the comparing, by the image interpolation device, each color coding difference value with a preset difference threshold to obtain a state parameter of a pixel to be interpolated, includes:
comparing each color coding difference value with a preset difference threshold value respectively according to a preset comparison formula to obtain each comparison result; wherein, the color coding difference value is larger than a preset difference threshold value, and the comparison result is recorded as yes; the color coding difference value is less than or equal to a preset difference threshold value, and the comparison result is marked as not;
sequencing and converting each comparison result into a binary number, and taking the binary number as a state parameter of the pixel point to be interpolated;
wherein, the preset comparison formula is as follows:
S＝(abs(Y-Yp)>delta Y )|(abs(U-Up)>delta U )|(abs(V-Vp)>delta V )
s represents a comparison result, Y, U and V represent color coding values of neighborhood pixel points, yp, up and Vp represent color coding values of pixel points to be interpolated, abs (Y-Yp), abs (U-Up) and abs (V-Vp) represent color coding differences between the neighborhood pixel points and the pixel points to be interpolated, and delta Y 、delta U And delta V Representing a preset difference threshold.
In some embodiments of the present application, an image interpolation apparatus includes:
receiving an interpolation rule updating request, and acquiring an image sample and a color coding value of each pixel point in the image sample;
sequentially taking all pixel points in the image sample as pixel points to be interpolated, counting the color coding values of the pixel points to be interpolated and the adjacent pixel points, and fitting to form an interpolation rule;
acquiring a preset state parameter of a pixel point to be interpolated, and storing an interpolation rule and the state parameter of the pixel point to be interpolated in a preset parameter mapping table in a correlated manner;
a determining module 703, further configured to: and querying a preset parameter mapping table to obtain an interpolation rule corresponding to the state parameter of the pixel point to be interpolated.
In some embodiments of the present application, an image interpolation apparatus includes:
acquiring an interpolation calculation formula associated with an interpolation rule, and acquiring color coding values of a pixel point to be interpolated and an adjacent pixel point;
inputting color coding values of the pixel points to be interpolated and the adjacent pixel points thereof into an interpolation calculation formula to obtain the color coding value of the pixel point to be interpolated and the target pixel point, and adding the color coding value of the target pixel point to the neighborhood of the pixel point to be interpolated to perform interpolation operation;
and traversing each pixel point in the initial image to perform interpolation operation to obtain a target image.
In some embodiments of the present application, the image interpolation apparatus further includes:
respectively inputting the initial image and the target image into a preset image recognition model for processing, and outputting a first recognition result and a second recognition result;
and if the first recognition result is different from the second recognition result, outputting an interpolation rule updating prompt.
In the embodiment, the image interpolation device acquires an initial image to be processed and a color coding value of each pixel point in the initial image; calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value; obtaining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated; determining a color coding value of a target pixel point associated with the pixel point to be interpolated according to an interpolation rule of the pixel point to be interpolated, and performing interpolation operation to obtain a target image; in the method, various interpolation rules are preset, the interpolation rules are set according to color similarity, color coding values of all pixel points are analyzed during image interpolation to determine state parameters, corresponding interpolation rules are selected according to the state parameters of the pixel points to be interpolated, different interpolation rules are adopted at different positions of the same image, interpolation operation can be effectively prevented from generating sawteeth by analyzing the color similarity and the space information of the image, the image interpolation effect is better, meanwhile, the interpolation rules can be quickly determined due to the fact that the state parameters and the interpolation rules are set to be correlated, data processing amount is small during image interpolation operation, image interpolation efficiency is high, and the requirement on hardware of image interpolation equipment is low.
An embodiment of the present invention further provides an image interpolation device, as shown in fig. 10, fig. 10 is a schematic structural diagram of an embodiment of the image interpolation device provided in the embodiment of the present application.
The image interpolation apparatus integrates any image interpolation device provided by the embodiments of the present invention, and includes a processor, a memory, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor executes the steps in the image interpolation method in any embodiment of the image interpolation method described above.
Specifically, the method comprises the following steps: the image interpolation apparatus may include components such as a processor 801 of one or more processing cores, a memory 802 of one or more computer-readable storage media, a power supply 803, and an input unit 804. Those skilled in the art will appreciate that the image interpolation device configuration shown in fig. 10 does not constitute a limitation of the image interpolation device, and may include more or less components than those shown, or combine some components, or a different arrangement of components. Wherein:
the processor 801 is a control center of the image interpolation apparatus, connects respective parts of the entire image interpolation apparatus with various interfaces and lines, and performs various functions of the image interpolation apparatus and processes data by running or executing software programs and/or modules stored in the memory 802 and calling data stored in the memory 802, thereby monitoring the entire image interpolation apparatus. Alternatively, processor 801 may include one or more processing cores; preferably, the processor 801 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 801.
The memory 802 may be used to store software programs and modules, and the processor 801 executes various functional applications and data processing by operating the software programs and modules stored in the memory 802. The memory 802 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created from use of the image interpolation device, and the like. Further, the memory 802 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 802 may also include a memory controller to provide the processor 801 access to the memory 802.
The image interpolation apparatus further includes a power supply 803 for supplying power to each component, and preferably, the power supply 803 may be logically connected to the processor 801 through a power management system, so that functions of managing charging, discharging, and power consumption are implemented through the power management system. The power supply 803 may also include one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and any like components.
The image interpolation apparatus may further include an input unit 804, and the input unit 804 may be used to receive input numeric or character information and generate a keyboard, mouse, joystick, optical or trackball signal input related to user setting and function control.
Although not shown, the image interpolation apparatus may further include a display unit and the like, which will not be described in detail herein. Specifically, in this embodiment, the processor 801 in the image interpolation apparatus loads an executable file corresponding to a process of one or more application programs into the memory 802 according to the following instructions, and the processor 801 runs the application programs stored in the memory 802, so as to implement various functions as follows:
acquiring an initial image to be processed and a color coding value of each pixel point in the initial image;
calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value;
acquiring an interpolation rule corresponding to the state parameter of the pixel point to be interpolated;
and determining the color coding value of the target pixel point related to the pixel point to be interpolated according to the interpolation rule, and performing interpolation operation to obtain a target image.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present invention provides a computer-readable storage medium, which may include: read Only Memory (ROM), random Access Memory (RAM), magnetic or optical disks, and the like. Stored thereon, a computer program is loaded by a processor to perform the steps of any one of the image interpolation methods provided by the embodiments of the present invention. For example, the computer program may be loaded by a processor to perform the steps of:
acquiring an initial image to be processed and a color coding value of each pixel point in the initial image;
calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value;
obtaining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated;
and determining the color coding value of the target pixel point related to the pixel point to be interpolated according to the interpolation rule, and performing interpolation operation to obtain a target image.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and parts that are not described in detail in a certain embodiment may refer to the above detailed descriptions of other embodiments, and are not described herein again.
In specific implementation, each unit or structure may be implemented as an independent entity, or may be combined arbitrarily to be implemented as the same entity or several entities, and specific implementation of each unit or structure may refer to the foregoing method embodiment, which is not described herein again.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
The image interpolation method provided by the embodiment of the present application is described in detail above, and the principle and the embodiment of the present invention are explained by applying a specific example herein, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An image interpolation method, comprising:
acquiring an initial image to be processed and a color coding value of each pixel point in the initial image;
calculating a color coding difference value between adjacent pixel points according to the color coding value of each pixel point in the initial image, and setting a state parameter of the pixel point to be interpolated according to the color coding difference value;
determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated;
and determining the color coding value of the pixel point to be interpolated associated with the target pixel point according to the interpolation rule, and performing interpolation operation to obtain a target image.
2. The method according to claim 1, wherein the obtaining the color-coded value of each pixel point in the initial image comprises:
obtaining the three color values of each pixel point in the initial image;
assigning the tristimulus values of the pixels in the initial image to a preset encoding formula to obtain the color encoding values of the pixels in the initial image, wherein the preset encoding formula is as follows:
Y＝((66*R+129*G+25*B)>>8)+16
U＝((-38*R-74*G+112*B)>>8)+128
V＝((112*R-94*G-18*B)>>8)+128
wherein Y, U, and V represent color-coded values, and R, G, and B represent tristimulus values.
3. The method according to claim 1, wherein the calculating a color coding difference between adjacent pixels according to the color coding value of each pixel in the initial image, and setting the state parameter of the pixel to be interpolated according to the color coding difference comprises:
sequentially taking all pixel points in the initial image as pixel points to be interpolated, taking pixel points adjacent to the pixel points to be interpolated as neighborhood pixel points, and calculating color coding difference values between the pixel points to be interpolated and the neighborhood pixel points;
and comparing each color coding difference value with a preset difference threshold value to obtain the state parameters of the pixel points to be interpolated.
4. The method according to claim 3, wherein the comparing each color coding difference value with a preset difference threshold to obtain the state parameter of the pixel to be interpolated comprises:
comparing each color coding difference value with a preset difference threshold value respectively according to a preset comparison formula to obtain each comparison result; wherein, the color coding difference value is greater than the preset difference threshold value, and the comparison result is recorded as yes; the color coding difference value is less than or equal to the preset difference threshold value, and the comparison result is marked as not;
sequencing and converting each comparison result into a binary number, and taking the binary number as a state parameter of the pixel point to be interpolated;
wherein, the preset comparison formula is as follows:
S＝(abs(Y-Yp)>delta Y )|(abs(U-Up)>delta U )|(abs(V-Vp)>delta V )
the S represents a comparison result, the Y, the U and the V represent color coding values of the neighborhood pixel points, the Yp, the Up and the Vp represent color coding values of the pixel points to be interpolated, the abs (Y-Yp), the abs (U-Up) and the abs (V-Vp) represent color coding difference values between the neighborhood pixel points and the pixel points to be interpolated, and the delta represents a color coding difference value between the neighborhood pixel points and the pixel points to be interpolated Y 、delta U And delta V Representing the preset difference threshold.
5. The method according to any one of claims 1 to 4, wherein before determining the interpolation rule corresponding to the state parameter of the pixel to be interpolated, the method comprises:
receiving an interpolation rule updating request, and acquiring an image sample and a color coding value of each pixel point in the image sample;
sequentially taking all pixel points in the image sample as pixel points to be interpolated, counting the color coding values of the pixel points to be interpolated and the adjacent pixel points, and fitting to form an interpolation rule;
acquiring a preset state parameter of the pixel point to be interpolated, and associating and storing an interpolation rule and the state parameter of the pixel point to be interpolated to a preset parameter mapping table;
the determining of the interpolation rule corresponding to the state parameter of the pixel point to be interpolated includes:
and querying the preset parameter mapping table to obtain an interpolation rule corresponding to the state parameter of the pixel point to be interpolated.
6. The method according to claim 1, wherein the determining a color coding value of a target pixel point associated with the pixel point to be interpolated according to the interpolation rule and performing an interpolation operation to obtain a target image comprises:
acquiring an interpolation calculation formula associated with the interpolation rule, and acquiring color coding values of the pixel point to be interpolated and the adjacent pixel point;
inputting the color coding values of the pixel point to be interpolated and the adjacent pixel points thereof into the interpolation calculation formula to obtain the color coding value of the pixel point to be interpolated, which is associated with a target pixel point, and adding the color coding value of the target pixel point to the neighborhood of the pixel point to be interpolated to perform interpolation operation;
and traversing each pixel point in the initial image to perform interpolation operation to obtain a target image.
7. The method according to any one of claims 1 to 6, wherein after determining the color coding value of the target pixel point associated with the pixel point to be interpolated according to the interpolation rule and performing interpolation operation to obtain a target image, the method comprises:
respectively inputting the initial image and the target image into a preset image recognition model for processing, and outputting a first recognition result and a second recognition result;
and if the first recognition result is different from the second recognition result, outputting an interpolation rule updating prompt.
8. An image interpolation apparatus, characterized by comprising:
the device comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring an initial image to be processed and a color coding value of each pixel point in the initial image;
the calculation module is used for calculating the color coding difference value between each adjacent pixel point according to the color coding value of each pixel point in the initial image and setting the state parameter of the pixel point to be interpolated according to the color coding difference value;
the determining module is used for determining an interpolation rule corresponding to the state parameter of the pixel point to be interpolated;
and the interpolation module is used for determining the color coding value of the pixel point to be interpolated associated with the target pixel point according to the interpolation rule and carrying out interpolation operation to obtain a target image.
9. An image interpolation apparatus, characterized in that the image interpolation apparatus comprises a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in the image interpolation method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, realizes the steps in the image interpolation method according to any one of claims 1 to 7.
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