Method, device and system for implementing WebP lossy compression algorithm

Abstract

The embodiments of the invention disclose a method, a device and a system for implementing a WebP lossy compression algorithm based on an FPGA heterogeneous acceleration platform. The method comprises the following steps: receiving image data information sent by a host, and saving the image data information to a cache, wherein the image data information is YUV image data information, and the cache is set up in advance by the host; calling a WebP lossy compression algorithm implemented by an FPGA hardware circuit according to a start instruction sent by the host, carrying out compressed encoding on the image data information according to the WebP lossy compression algorithm to get processed image data, and saving calculated image data to the cache; and returning calculation completion information to the host to enable the host to read the calculated image data from the cache after receiving the calculation completion information. The compression speed is increased and the power consumption is reduced to a certain extent during use.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of data processing, in particular to a method, device and system for implementing a WebP lossy compression algorithm based on an FPGA heterogeneous acceleration platform. Background technique [0002] In the era of big data, the scale of massive image data not only brings high storage costs to the data center, but also poses challenges to the performance of the data center. In order to reduce the data size of image files, the industry is constantly working on the research of more efficient image lossy compression coding algorithms, and a new image file format emerges as the times require. The image compression format is WebP, which can save several terabytes per day. bandwidth, the average loading time of website pages is reduced by about 1 / 3. Compared with the traditional compression technology, WebP has a better image data compression algorithm, which can obtain smaller image siz...

AI Technical Summary

Problems solved by technology

However, compared with JPEG, WebP is slightly inferior in speed, the encoding speed is 10 times slower, and the decoding speed is 1.5 times slower. In the prior art, the WebP lossy compression algorithm is implemented by the CPU, because the CPU is implemented through serial processing. WebP is a lossy compression algorithm, so the existing technology has the disadvantages of slow compression speed and high power consumption

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