Image processing method and device based on WebP image compression algorithm

Abstract

The invention discloses an image processing method, device and equipment based on WebP image compression algorithm, and a computer readable storage medium. The method comprises the following steps: acquiring multiple Y macro blocks, multiple U macro blocks and multiple Z macro blocks in YUV image data of a to-be-processed image; performing recombination on sub-block traverse order in multiple Y macro blocks, multiple U macro blocks and multiple V macro blocks according to dependency relation among the macro blocks; combining the Y block after the sub-block traverse order recombination and theU macro blocks and the V macro blocks of an image region located by each Y macro block, thereby obtaining a target macro block of the image region located by the Y macro block; performing recombination on the sub-block traverse order in each target macro block according to the dependency relation among the target macro blocks; and traversing the sub-blocks in various target macro blocks accordingto the recombined order to obtain the brightness and chromacity of the to-be-processed image. Through the image processing method, device, equipment and computer readable storage medium provided by the invention, the parallel processing among the Y macro blocks, the U macro blocks and the V macro blocks is realized.

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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