Image processing method, apparatus and system

Abstract

The application provides an image processing method, apparatus and system. The method comprises parsing the code stream to obtain an encoding mode of a current image block to be reconstructed of the current image, a residual signal of the current image block to be reconstructed, and pixels in each reference reconstructed image block corresponding to the current image block to be reconstructed, wherein the encoding mode is an original resolution encoding mode or a down sampling encoding mode, and the current image block to be reconstructed corresponds to M reference reconstructed image blocks;determining a plurality of reference pixels of the current image block to be reconstructed according to the coding mode of the current image block to be reconstructed and pixels in the M reference reconstructed image blocks; generating a prediction signal from the plurality of reference pixels; a reconstruction signal is generated according to the prediction signal and the residual signal, and thecurrent image block to be reconstructed is reconstructed according to the reconstruction signal to obtain the current reconstructed image block. So that the reconstructed image block obtained by thedecoding end has better effect.

Description

technical field [0001] The present application relates to image processing technologies, and in particular to an image processing method, device and system. Background technique [0002] Digital video is video recorded in digital form. figure 1 Schematic representation of the digital video provided for this application, as figure 1 As shown, digital video consists of multiple frames of digital images. figure 2 Schematic illustrations of digital images provided for this application, such as figure 2 As shown, the image consists of 12*16 pixels, where each pixel is called a pixel, and 12*16 represents the image resolution. For example, the image resolution of 2K video is 1920*1080, and the image resolution of 4K video is 3840*2160. Usually the original video includes a large amount of data, which is not suitable for storage and transmission, and it is necessary to use efficient video compression coding technology to compress the original data. [0003] specifically, i...

AI Technical Summary

Problems solved by technology

[0006] In the prior art, the encoding end uses down-sampling processing for the entire image. However, the characteristics of each image block included in the entire image may be different. For example, some image blocks may be relatively flat, and the encoding end is suitable for down-sampling processing. ; Some image blocks may have more details, in this case, the downsampling process will lose these details

This will result in poor encoding on the encoding side

Correspondingly, this will cause some reconstructed image blocks obtained by the decoding end to be blurred, that is, the reconstructed image blocks obtained by the decoding end are not good

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