Pyramid-based image filtering method and device and storage medium

Abstract

The invention discloses a pyramid-based image filtering method and device, and a storage medium. The method comprises the steps: constructing an image pyramid of a to-be-processed image; sequentiallytaking down-sampled images from the image pyramid according to the sequence of the resolutions to serve as current layer images; filtering the current layer image to obtain an intermediate filtered image; performing up-sampling on the intermediate filtered image to obtain an up-sampled image; fusing the upsampling image with the next layer of image of the current layer of image to obtain a fused image; taking the fused image as a current layer image, and judging whether the current layer is the last layer or not; if the current layer is not the last layer, returning to the step of filtering the image of the current layer to obtain an intermediate filtered image; and if the current layer is the last layer, obtaining an intermediate processing image, fusing the intermediate processing imagewith the to-be-processed image, filtering the fused image to obtain a filtered image, and outputting the filtered image. In this way, errors can be suppressed, and the filtering effect is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a pyramid-based image filtering method, device and storage medium. Background technique [0002] At present, some schemes in the field of image and video coding adopt block-based coding, which can greatly reduce the bit rate, save bandwidth, and facilitate the transmission of image data information; however, as the bit rate decreases, the quantization process becomes rougher, and the image block / The coding block is prone to discontinuous distortion at the boundary, resulting in the degradation of the reconstructed image quality and block effect. In order to improve the blocking effect in the prior art, a deblocking optimization function based on transform coefficients can be constructed. By solving a constrained optimization problem, a filter can be used to process the boundary pixels, and the consistency of the transform coefficients before and after deblocki...

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Problems solved by technology

[0002] At present, some schemes in the field of image and video coding adopt block-based coding, which can greatly reduce the bit rate, save bandwidth, and facilitate the transmission of image data information; however, as the bit rate decreases, the quantization process becomes rougher, and the image block / The coding block is prone to discontinuous distortion at the boundary, resulting in a decrease in the quality of the reconstructed image and resulting in block effects

In order to improve the blocking effect in the prior art, a deblocking optimization function based on transform coefficients can be constructed. By solving a constrained optimization problem, a filter can be used to process the boundary pixels, and the consistency of the transform coefficients before and after deblocking can be guaranteed. , to avoid secondary errors, but it does not classify the sample blocks, and uses the same optimization function for all types of sample blocks, which limits the improvement of the overall quality; there are also schemes that use adaptive filters to completely smooth the image blocks, Partial smoothing filtering and boundary adjustment filtering, but it processes a single-scale image and cannot reduce the error after processing

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