A Lossless Compression Method and System for Satellite Sequence Images Based on Hybrid Entropy Coding

Abstract

The invention discloses a satellite sequence image lossless compression method and system based on mixed entropy coding, and belongs to the technical field of image compression. The satellite sequence image lossless compression method based on mixed entropy coding includes the steps: inputting the images of the current frame and the reference frame, and selecting two prediction modes: inter-frame prediction and intra-frame prediction, to obtain the predicted residual error; mapping the predicted residual error to a nonnegative region; designing mixed adaptive arithmetic coding based on arithmetic coding and fixed length coding; according to the distribution characteristics of the residual error data, performing arithmetic coding and fixed length coding on different data respectively; and finally performing integrated output of the coding result. The invention also implements a satellite sequence image lossless compression system based on mixed entropy coding. The technical scheme of the satellite sequence image lossless compression method and system based on mixed entropy coding can automatically switch the prediction mode according to the sequence image space redundancy and time redundancy characteristics to enable the predicted pixel value to be close to the real value, and at the same time the entropy coding device designed by the satellite sequence image lossless compression method and system based on mixed entropy coding has better coding performance and significantly improves the image lossless compression ratio.

Description

technical field [0001] The invention belongs to the technical field of image compression, and more specifically relates to a method and system for lossless compression of satellite sequence images based on hybrid entropy coding. Background technique [0002] Remote sensing technology plays a pivotal role in military reconnaissance, environmental monitoring, and earth resource management. In particular, remote sensing images are intuitive and informative. With the development of space technology, especially the development of space military technology, higher requirements are put forward for space remote sensing, mainly including the improvement of image resolution, spectral resolution and time resolution, resulting in a sharp increase in the amount of image data on the star. The main task of most satellites is to transmit image data from space to the ground in real time. In some application fields, lossless compression is required. Therefore, facing the rapid increase of sp...

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Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a method and system for lossless compression of satellite sequence images based on hybrid entropy coding, the purpose of which is to automatically switch intra-frame prediction according to the spatial redundancy and temporal redundancy characteristics of sequence images and inter-frame prediction mode, and use adaptive hybrid entropy coding for coding, thus solving the technical problems of high compression algorithm complexity and high information redundancy in the existing on-board image compression technology

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