Image processing method and device based on webp image compression algorithm

Abstract

The invention discloses an image processing method, device, device and computer-readable storage medium based on a WebP image compression algorithm, comprising: acquiring a plurality of Y macroblocks, a plurality of U macroblocks and a plurality of U macroblocks in the YUV image data of the image to be processed Z macroblocks; according to the dependencies between macroblocks, reorganize the traversal order of sub-blocks in multiple Y macroblocks, multiple U macroblocks, and multiple V macroblocks; reorganize the sub-block traversal order of each Y macroblock and the U macroblock and V macroblock of the image area where the Y macroblock is located are combined to obtain the target macroblock of the image area where the Y macroblock is located; according to the dependency relationship between the target macroblocks, the The traversal order of the sub-blocks is reorganized, and the sub-blocks in each target macroblock are traversed according to the reorganized order to obtain the brightness and chrominance of the image to be processed. The image processing method, device, equipment and computer-readable storage medium provided by the present invention realize parallel processing among Y macroblocks, U macroblocks, and V macroblocks.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method, device, equipment and computer-readable storage medium based on a WebP image compression algorithm. Background technique [0002] With the development of image acquisition equipment such as mobile phones, tablets, and digital cameras, and the increase in image pixel scale, the scale of Internet image data has grown exponentially. The latest research shows that from 2016 to 2021, the data storage scale on data center servers will increase four-fold, from 663EB to 2.6ZB, and most of the data storage comes from images and videos. For example, in 2013, Facebook users uploaded more than 250 billion pictures. By 2015, Facebook added nearly 2 billion pictures every day; Added 8 billion image storage capacity. This will bring serious challenges to the data storage and network bandwidth of the data center server. [0003] Since the compressi...

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Problems solved by technology

[0006] The object of the present invention is to provide a kind of image processing method, device, equipment and computer-readable storage medium based on WebP image compression algorithm, have solved that Y macroblock, U macroblock and V macroblock cannot be processed in parallel in the prior art The problem

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