Image processing method and device, electronic equipment and readable storage medium

Abstract

The embodiment of the invention discloses an image processing method and device, electronic equipment and a readable storage medium, and relates to the fields of image processing, games, cloud technologies, block chains and the like. The method comprises the following steps: acquiring an image size and image data of a to-be-processed image, wherein a color coding format corresponding to the image data of the to-be-processed image is a source coding format; creating a first texture according to the image size, and storing image data of the to-be-processed image into the first texture; according to the image size and the target coding format, creating a second texture for storing the target image data, the coding format corresponding to the target image data being the target coding format; taking the image data of the to-be-processed image stored in the first texture as a sampling source, taking the second texture as a to-be-rendered target texture, and calling a shader through a graphics processing unit (GPU) to calculate and obtain target image data corresponding to each texture coordinate, and storing the target image data corresponding to each texture coordinate to a corresponding storage position in the second texture.

Description

technical field [0001] The present application relates to the fields of image processing, games, cloud technology, and blockchain, and in particular relates to an image processing method, device, electronic equipment, and readable storage medium. Background technique [0002] At present, with the development of image processing technology, various color spaces appear to represent image colors, for example, red, green and blue RGB color space, luminance and chrominance YUV color space, and so on. [0003] In many actual application scenarios, there is often a need to convert an image encoded in one color space to an image encoded in another color space. In the prior art, when converting image data in different color encoding formats, Usually, each pixel in the image of the source encoding format is traversed one by one, and the pixel value of another encoding format is calculated one by one. Although the conversion can be completed using the current method, there is a proble...

AI Technical Summary

Problems solved by technology

Although the conversion can be completed using the current method, there is a problem of low conversion efficiency

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