Remote sensing image compression algorithm hardware implementation method based on JPEG-LS inter-frame extension

Abstract

The invention discloses a remote sensing image compression algorithm hardware implementation method based on JPEG-LS inter-frame extension, and belongs to the technical field of image compression. The method comprises the following steps of: (1) controlling a compression mode; (2) blocking coding frame and reference frame images; (3) performing motion estimation to obtain an optimal matching block; (4) carrying out multi-predictor parallel computing, and selecting an optimal predictor; (5) carrying out multi-branch modeling and prediction to obtain a residual error; and (6) carrying out Golomb limited length coding on the residual error, and outputting a compressed code stream. The remote sensing image compression algorithm hardware implementation method supports an efficient inter-frame extension structure of multi-channel data caching of block access, full-search motion estimation and multi-predictor parallel computing, and improves the pixel throughput rate by adopting the idea of an assembly line and a template sliding window; and inter-frame information is introduced on the basis of JPEG-LS intra-frame compression, a motion compensation inter-frame prediction technology is adopted, image space redundancy and time redundancy are eliminated at the same time, and the compression efficiency is high.

Description

technical field [0001] The invention belongs to the technical field of image compression, and more specifically relates to a hardware implementation method of a remote sensing image compression algorithm based on JPEG-LS inter-frame expansion. Background technique [0002] With the rapid development of my country's satellite remote sensing technology, the amount of data generated by spaceborne imaging payloads is increasing day by day. The huge amount of remote sensing image data puts great pressure on the limited on-board storage and satellite-ground link bandwidth. Space-borne remote sensing image compression is an effective measure to solve this problem. JPEG-LS is an ISO / ITU standard for lossless compression of continuous tone images. It has excellent compression performance and has good control over computational complexity. Based on the image lossless / near lossless compression algorithm of JPEG-LS inter-frame expansion, motion compensation is adopted. With the multi-p...

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Problems solved by technology

However, this method only considers the spatial correlation of images, and cannot remove the temporal redundancy of sequence images, resulting in a low compression ratio.

[0005] Aiming at the problem of strong real-time compression, the patent "JPEG-LS Conventional Encoding Hardware Implementation Method" (patent application number: CN201210198818.X, publication number: CN102724506A) is dedicated to solving the complex structure of parameter update and error value calculation in the JPEG-LS compression algorithm, processing slow speed problem

However, this method only realizes the lossless compression function in the standard, and avoids the real-time implementation problem of the pixel reconstruction feedback loop, resulting in the loss of the near lossless compression function.

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