A jpeg-ls compression system and method based on a time-interleaved pipeline architecture

Abstract

The invention discloses a JPEG-LS compression system and method based on a time-interleaved pipeline framework. The compression system comprises an interleaver and a JPEG-LS encoder; the interleaver is used for interleaving to-be-compressed image data and outputting interleaved image data; the JPEG-LS encoder includes a row cache maintenance module, a causal template maintenance module, a contextmodeling and maintenance module, and a residual encoding module; an interleaved image data output end of the interleaver is connected with the interleaved image data input ends of the cache maintenance module, the causal template maintenance module, and the context modeling and maintenance module; a signal output end of the row cache maintenance module is connected with an input end of the causaltemplate maintenance module; an output end of the causal template maintenance module is connected with an input end of the context modeling and maintenance module; and, an output end of the context modeling and maintenance module is connected with an input end of the residual encoding module. The compression system provided by the invention can increase the data throughput rate when the image is compressed.

Description

technical field [0001] The invention relates to the technical field of image compression, in particular to a JPEG-LS compression system and method based on a time-interleaved pipeline architecture. Background technique [0002] The JPEG-LS algorithm is an image compression standard formulated by the Joint Photographic Experts Group-lossless. Compared with other compression algorithms, JPEG-LS has higher compression performance in the field of lossless and near-lossless compression, and The computational complexity is moderate, and it is widely used in astronomical remote sensing, deep space ejection, medical imaging and other fields. The JPEG-LS standard algorithm supports lossless and near-lossless compression modes, and uses run-length mode or conventional mode to encode and decode images. The main steps of encoding include prediction and encoding; the main steps of decoding are prediction and decoding. [0003] In the conventional encoding mode, each pixel will use the r...

AI Technical Summary

Problems solved by technology

[0005] 1. It consumes a lot of hardware resources

[0006] 2. The peripheral circuit is complex and requires multiple code stream data buffer areas

[0007] 3. Scheduling is complicated

The disadvantage is: the compression ratio performance drops

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