CN117237258B - Night vision image processing method, system, equipment and medium based on three-dimensional engine - Google Patents
Night vision image processing method, system, equipment and medium based on three-dimensional engine Download PDFInfo
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- 230000004297 night vision Effects 0.000 title claims abstract description 50
- 238000003672 processing method Methods 0.000 title claims abstract description 20
- 238000004088 simulation Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 7
- 238000007499 fusion processing Methods 0.000 claims description 4
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- 238000009877 rendering Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
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- 238000005286 illumination Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention relates to the technical field of image processing, in particular to a night vision image processing method, a system, equipment and a medium based on a three-dimensional engine.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a night vision image processing method, a system, equipment and a medium based on a three-dimensional engine.
Background
The three-dimensional game engine is a software framework for developing and running games, comprises various technical processes of 3D graphics, can enhance human vision under low light conditions, is commonly used in applications such as games, virtual reality and simulated training, can provide realistic night scene effects, and enhances night vision experience of users.
In the aspect of night vision simulation, a pixel shader (loader) is commonly used for simulating the night vision effect, however, in the process of image processing by using the method, the calculation complexity is higher, the stability is poorer, the reliability of the calculation result is poorer, and the night vision simulation efficiency is low and the quality is poor.
Disclosure of Invention
The invention aims to provide a night vision image processing method, a system, equipment and a medium based on a three-dimensional engine.
The technical scheme of the invention is as follows:
a night vision image processing method based on a three-dimensional engine, comprising the following operations:
s1, acquiring a screen image, wherein the screen image is subjected to brightness enhancement processing to obtain a first screen image;
s2, acquiring a saturation minimum value of the first screen image, and acquiring a second screen image based on the saturation minimum value;
s3, creating a gray template image, wherein the gray template image and the second screen image are subjected to superposition processing to obtain a third screen image;
s4, carrying out gray processing on the third screen image to obtain a night vision simulation image.
The operation of the brightness enhancement processing in S1 specifically includes: and presetting a brightness coefficient, and based on the brightness coefficient, enhancing the intensity of a color channel at each position in the screen image to obtain the first screen image.
The operation of obtaining the second screen image based on the saturation minimum in S2 specifically includes: reducing the saturation of each position in the first screen image, wherein the reduction amplitude is equal to the minimum saturation value, and an indirect screen image is obtained; and (3) adding the saturation of each position in the indirect screen image with the minimum value of the saturation after equalization processing to obtain the second screen image.
The operation of S3 specifically includes: and presetting a contrast ratio, respectively reducing the saturation of the second screen image and the gray template image based on the contrast ratio, and obtaining the third screen image through superposition and fusion processing.
The operation of S4 specifically includes: and presetting a gray scale coefficient, and reducing the intensity of a color channel at each position in the third screen image based on the gray scale coefficient to obtain the night vision simulation image.
And (3) the gray value of the gray template image in the step (S3) is 0.5.
The color channels include a red channel, a green channel, and a blue channel.
A three-dimensional engine-based night vision image processing system, comprising:
the first screen image generation module is used for acquiring a screen image, wherein the screen image is subjected to brightness enhancement processing to obtain a first screen image;
the second screen image generating module is used for acquiring the minimum saturation value of the first screen image and obtaining a second screen image based on the minimum saturation value;
the third screen image generating module is used for creating a gray template image, and the gray template image and the second screen image are subjected to superposition processing to obtain a third screen image;
and the night vision simulation image generation module is used for obtaining a night vision simulation image through gray processing of the third screen image.
A night vision image processing device based on a three-dimensional engine comprises a processor and a memory, wherein the processor realizes the night vision image processing method when executing a computer program stored in the memory.
A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the night vision image processing method described above.
The invention has the beneficial effects that:
according to the night vision image processing method based on the three-dimensional engine, the screen image of the three-dimensional engine camera is obtained, the minimum saturation acceptable for human eyes is obtained after the overall brightness of the screen image is enhanced, the first screen image is processed based on the minimum saturation, the first screen image is overlapped and fused with the preset gray template image to obtain the third screen image, the weighted average value of all color channels at each position in the third screen image is used as the gray value of the gray level image to obtain a night vision simulation image with good night vision effect, and the night vision effect is more vivid through simulating night illumination conditions and color adjustment.
Detailed Description
The embodiment provides a night vision image processing method based on a three-dimensional engine, which comprises the following operations:
s1, acquiring a screen image, wherein the screen image is subjected to brightness enhancement processing to obtain a first screen image;
s2, acquiring a saturation minimum value of the first screen image, and acquiring a second screen image based on the saturation minimum value;
s3, creating a gray template image, wherein the gray template image and the second screen image are subjected to superposition processing to obtain a third screen image;
s4, carrying out gray processing on the third screen image to obtain a night vision simulation image.
S1, acquiring a screen image, and performing brightness enhancement processing on the screen image to obtain a first screen image.
Acquiring a rendering picture of a three-dimensional engine camera, and then performing image sampling on the rendering picture to acquire a colored screen image M 0 And (R, G, B), presetting a brightness coefficient, and enhancing the intensity of a color channel at each position in the screen image based on the brightness coefficient to obtain a first screen image. The color channels include a red color channel, a green color channel, and a blue color channel.
The operation of obtaining the first screen image may be achieved by the following formula: m=m 0 ·L 1 M is the first screen image, L 1 For the brightness coefficient, L 1 Greater than 0.
S2, acquiring the minimum saturation value of the first screen image, and acquiring a second screen image based on the minimum saturation value.
And calculating the saturation value at each position in the first screen image, and obtaining the minimum saturation value acceptable to human eyes. The operation of obtaining the saturation minimum can be achieved by the following formula: l (L) s =min(M r ·0.30+M g ·0.59+M b ·0.11)，L s At the lowest saturation value, M r For red channel intensity at a location in the first screen image, M g For the intensity of the green channel at a location in the first screen image, M b For the blue channel intensity at a certain position in the first screen image, 0.30, 0.59, 0.11 are the first red channel coefficient, the first green channel coefficient, and the first blue channel coefficient, respectively.
Based on the saturation minimum, the operation of obtaining the second screen image is as follows: reducing the saturation of each position in the first screen image, wherein the reduction amplitude is equal to the minimum saturation value, and an indirect screen image is obtained; and (3) adding the saturation of each position in the indirect screen image with the minimum value of the saturation after the balance processing to obtain a second screen image. The balancing processing is performed by presetting a saturation coefficient, multiplying the saturation of the image at each position in the indirect screen image by the saturation coefficient, and adding the multiplied saturation with the minimum value of the saturation to obtain a second screen image. The saturation coefficient may be a specific value or may be a data matrix corresponding to the pixel position of the image.
Based on the saturation minimum, the operation of obtaining the second screen image may be achieved by the following formula: m is M f1 =（1-C 1 ）·Ls+ C 1 ·M，M f1 For the second screen image, ls is the saturation minimum, C 1 And M is a first screen image, and is a saturation coefficient.
S3, creating a gray template image, and overlapping the gray template image and the second screen image to obtain a third screen image.
And presetting a contrast ratio, respectively reducing the saturation of the second screen image and the gray template image based on the contrast ratio, and obtaining a third screen image through superposition and fusion processing. Wherein, the gray value of the gray template image is 0.5.
The operation of obtaining the third screen image may be achieved by the following formula: m is M f2 =(1- C 2 )·M z + C 2 ·M f1 ，M f2 C is the third screen image 2 For contrast ratio, M z (0.5,0.5,0.5) Gray template image, M f1 Is a second screen image.
S4, carrying out gray processing on the third screen image to obtain a night vision simulation image.
And the intensity of the color channel at each position in the third screen image is subjected to weighted average processing to obtain a night vision simulation image. The operation of obtaining the night vision simulation image can be realized through the following formula: gray=m f2r ·0.299+ M f2g ·0.587+ M f2b ·0.114，Mf=(Gray, Gray, Gray)，M f The Gray value obtained by weighting and averaging is the night vision analog image and Gray, M f2r For the red channel at a certain position in the third screen image, M f2g Is the green channel at a certain position in the third screen image, M f2b For the blue channel at a certain position in the third screen image, 0.2999, 0.587, 0.114 are red channel gray scale weight, green channel gray scale weight, and blue channel gray scale weight, respectively.
The embodiment also provides a night vision image processing system based on a three-dimensional engine, which comprises:
the first screen image generation module is used for acquiring a screen image, and the screen image is subjected to brightness enhancement processing to obtain a first screen image;
the second screen image generating module is used for acquiring the minimum saturation value of the first screen image and acquiring the second screen image based on the minimum saturation value;
the third screen image generating module is used for creating a gray template image, and the gray template image and the second screen image are subjected to superposition processing to obtain a third screen image;
and the night vision simulation image generation module is used for obtaining a night vision simulation image through gray processing of the third screen image.
The embodiment also provides night vision image processing equipment based on the three-dimensional engine, which comprises a processor and a memory, wherein the processor realizes the night vision image processing method when executing the computer program stored in the memory.
The present embodiment also provides a computer-readable storage medium storing a computer program, wherein the computer program implements the night vision image processing method described above when executed by a processor.
According to the night vision image processing method based on the three-dimensional engine, the screen image of the three-dimensional engine camera is obtained, after the overall brightness of the screen image is enhanced, the minimum saturation acceptable to human eyes is obtained, based on the minimum saturation, the first screen image is processed, and then the first screen image is overlapped and fused with the preset gray template image to obtain the third screen image, the weighted average value of all color channels at each position in the third screen image is used as the gray value of the gray map, and the night vision simulation image with good night vision effect is obtained.
Claims (8)
1. A night vision image processing method based on a three-dimensional engine, comprising the following operations:
s1, acquiring a screen image, wherein the screen image is subjected to brightness enhancement processing to obtain a first screen image;
s2, acquiring a saturation minimum value of the first screen image, and acquiring a second screen image based on the saturation minimum value;
the operation of obtaining the second screen image based on the saturation minimum value specifically comprises the following steps: reducing the saturation of each position in the first screen image, wherein the reduction amplitude is equal to the minimum saturation value, and an indirect screen image is obtained; the saturation of each position in the indirect screen image is added with the minimum value of the saturation after being subjected to equalization treatment, so that the second screen image is obtained; the operation of the equalization process is as follows: presetting a saturation coefficient, multiplying the saturation of pixels at each position in the indirect screen image by the saturation coefficient, and adding the multiplied saturation with the saturation minimum to obtain the second screen image;
s3, creating a gray template image, wherein the gray template image and the second screen image are subjected to superposition processing to obtain a third screen image;
the method comprises the following steps: presetting a contrast ratio, respectively reducing the saturation of the second screen image and the gray template image based on the contrast ratio, and obtaining the third screen image through superposition and fusion processing;
s4, carrying out gray processing on the third screen image to obtain a night vision simulation image.
2. The night vision image processing method according to claim 1, wherein the operation of the brightness enhancement processing in S1 is specifically:
and presetting a brightness coefficient, and based on the brightness coefficient, enhancing the intensity of a color channel at each position in the screen image to obtain the first screen image.
3. The night vision image processing method according to claim 1, wherein the operation of S4 is specifically:
and presetting a gray scale coefficient, and reducing the intensity of a color channel at each position in the third screen image based on the gray scale coefficient to obtain the night vision simulation image.
4. The night vision image processing method of claim 1, wherein the gray scale value of the gray template image in S3 is 0.5.
5. A night vision image processing method as claimed in claim 2 or 3, wherein the color channels comprise a red channel, a green channel and a blue channel.
6. A three-dimensional engine-based night vision image processing system, comprising:
the first screen image generation module is used for acquiring a screen image, and the screen image is subjected to brightness enhancement processing to obtain a first screen image;
the second screen image generating module is used for acquiring the saturation minimum value of the first screen image and obtaining a second screen image based on the saturation minimum value; the operation of obtaining the second screen image based on the saturation minimum value specifically comprises the following steps: reducing the saturation of each position in the first screen image, wherein the reduction amplitude is equal to the minimum saturation value, and an indirect screen image is obtained; the saturation of each position in the indirect screen image is added with the minimum value of the saturation after being subjected to equalization treatment, so that the second screen image is obtained; the operation of the equalization process is as follows: presetting a saturation coefficient, multiplying the saturation of pixels at each position in the indirect screen image by the saturation coefficient, and adding the multiplied saturation with the saturation minimum to obtain the second screen image;
the third screen image generating module is used for creating a gray template image, and the gray template image and the second screen image are subjected to superposition processing to obtain a third screen image; the method comprises the following steps: presetting a contrast ratio, respectively reducing the saturation of the second screen image and the gray template image based on the contrast ratio, and obtaining the third screen image through superposition and fusion processing;
and the night vision simulation image generation module is used for obtaining a night vision simulation image through gray processing of the third screen image.
7. A night vision image processing device based on a three-dimensional engine, comprising a processor and a memory, wherein the processor implements the night vision image processing method according to any one of claims 1-5 when executing a computer program stored in the memory.
8. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the night vision image processing method according to any one of claims 1-5.
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