Image processing method and system
An image processing and target image technology, applied in the field of electronic information, can solve the problems that the image codec effect does not meet the expected settings, cannot take into account the codec requirements, and the image compression effect does not meet the preset requirements, etc.
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Embodiment 1
[0060] An embodiment of the present disclosure provides an image processing system, such as figure 1 As shown, the image processing system 10 includes: an encoding device 101, a decoding device 102, figure 1 Only one encoding device and one decoding device are shown in .
[0061]The encoding device 101 is connected to the decoding device 102; the encoding device 101 can be connected to the decoding device 102 in a wireless or wired manner, and the wireless mode includes a mobile network (such as 3G, 4G, 5G), WiFi, hotspot, Bluetooth, etc. Wired methods include coaxial cable, twisted pair, and optical fiber. The embodiment of the present disclosure does not specifically limit the connection manner of the encoding device and the decoding device, which may be selected according to actual conditions.
[0062] The encoding device 101 is configured to acquire a target image and parameter information corresponding to the target image, where the parameter information includes pixel ...
Embodiment 2
[0079] based on figure 1 In the image processing system shown, the embodiment of the present disclosure provides an image processing method, which is applied to an encoding device. Such as figure 2 As shown, image processing methods include:
[0080] 201. Acquire a target image and parameter information corresponding to the target image.
[0081] Parameter information, including pixel values and grayscale values. Further, the target image includes N target macroblocks, wherein the macroblocks include several pixel points, so the parameter information includes pixel values and grayscale values corresponding to the macroblocks, and pixel The pixel value and gray value corresponding to the point.
[0082] 202. Divide the target image into M target layers according to a preset algorithm and the parameter information, where the value of M is greater than 2.
[0083] In an optional embodiment, dividing the target image into M target layers includes dividing the target ima...
example 1
[0111] According to the A basic color value, B basic color value, C basic color value, and D basic color value corresponding to the target macroblock, the target macroblock is divided into a target layer, b target layer, c target layer, d target layers as an example.
[0112] Calculate the difference between the pixel value of each pixel in the target macroblock and the basic color value A, if the difference between the pixel value of the pixel and the basic color value A is less than the preset difference threshold, then the The pixel is divided into the a target layer; if the difference between the pixel value of the target pixel and the basic color value B is less than the preset difference threshold, the pixel can be divided into the b target layer; if the target If the difference between the pixel value of the pixel point and the C basic color value is less than the preset difference threshold, the pixel point can be divided into the c target layer; if the pixel value of th...
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