Image processing method and device, electronic device and storage medium

Abstract

The invention relates to an image processing method and device, an electronic device and a storage medium. The image processing method comprises the following steps: acquiring an image effect block to be processed in an image; the similarity between the to-be-processed image effect block and an image block in a preset search box is determined, a target similar block is obtained, and the target similar block is the image block with the minimum similarity with the to-be-processed image effect block in the preset search box; under the condition that the similarity between the target similar block and the to-be-processed image effect block is larger than the preset similarity, image information corresponding to the to-be-processed image effect block is kept, and the image information comprises pixel information and position information of the to-be-processed image effect block. Through the method and the device, the problem of high complexity of an image algorithm in related technologies is solved, and the complexity of the image algorithm is reduced.

Description

technical field [0001] The present application relates to the field of image processing, in particular to an image processing method, device, electronic device and storage medium. Background technique [0002] Currently, in coding standards, DCT (transform coding) technology is one of the important means for compressing images / videos. In the DCT-based compression coding system, if the DCT is performed on the entire image, since the transformed DCT coefficients are related to each pixel in the image, the amount of calculation will be quite large. Therefore, the DCT transformation used is based on pixel blocks, that is, the image is first divided into 8×8 pixel blocks, and then DCT is performed on each block to obtain 64 DCT coefficients, which greatly reduces the amount of calculation. However, since the DCT transformation is performed on each block separately, the correlation between pixel blocks is ignored. When quantizing the DCT coefficients of each block, the DCT coeff...

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Problems solved by technology

However, if the quantization is relatively rough, a large amount of high-frequency information at the edge of the block will be lost, resulting in discontinuous jumps at the boundary of the block in the reconstructed image, which is the block effect.

[0003] In related technologies, in the solution to image deblocking effect, low-rank matrix restoration, as a means, can make full use of the redundancy of the image and effectively eliminate block effect, but the use of low-rank matrix restoration will result in high complexity of image algorithms. question

[0004] Aiming at the problem of high image algorithm complexity in related technologies, no effective solution has been proposed so far

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