Image processing method, device, server and client

Abstract

The invention relates to the technical field of computers and provides a picture processing method and apparatus, a server and a client. The server obtains a first picture file of the client and converts the first picture file into a rendering code file; and the client downloads the rendering code file from the server, runs the rendering code file in response to user operation, and performing rendering drawing on the rendering code file to obtain a second picture file. Compared with an existing grid map, the memory occupation can be effectively reduced and picture amplification is distortionless; and compared with an existing mode of analyzing SVG picture file information by traversing an XML tree structure, the method and the apparatus have the advantages that the loading speed is high, a rendering command can be locally modified, a nine-zone graph is supported and the complex picture rendering efficiency is high.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular, to an image processing method, device, server and client. Background technique [0002] At present, with the continuous development of its own business, the content of mobile applications is constantly enriched, and the local image resources used will continue to increase, which will eventually lead to larger installation packages, increased memory usage, and slower page loading speeds. Although some open source images are optimized The memory management of pictures is improved, but some local pictures are not essentially optimized, and multi-resolution adaptation is also considered for local pictures of Android. If you want to achieve the highest resolution with the smallest memory on models with various resolutions High-resolution pictures, then you need multiple high-resolution pictures, which will cause resource redundancy, and SVG (Scalable Vector Graphics, scalable ...

AI Technical Summary

Problems solved by technology

[0002] At present, with the continuous development of its own business, the content of mobile applications is constantly enriched, and the local image resources used will continue to increase, which will eventually lead to larger installation packages, increased memory usage, and slower page loading speeds. Although some open source images are optimized The memory management of pictures is improved, but some local pictures are not essentially optimized, and multi-resolution adaptation is also considered for local pictures of Android. If you want to achieve the highest resolution with the smallest memory on models with various resolutions High resolution pictures, then you need multiple resolution pictures, which will cause resource redundancy, and SVG (ScalableVector Graphics, scalable vector graphics) vector graphics can solve these problems

[0003] But at present, the disadvantages of Android using SVG vector graphics are mainly slow loading speed and low rendering efficiency of complex pictures. Extensible Markup Language) files, when parsing, you need to traverse the tree structure of xml to parse the corresponding information, and you also need to allocate corresponding memory to cache these information. This process is several times slower than the parsing of raster images. In addition, on Android There is a special raster image of nine images, but the SVG protocol itself does not have the concept of nine images

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