An image lossless compression system and method

Abstract

The invention provides an image lossless compression system which comprises a status register unit, a data distributor, a S-O-F inserter, a differencing encoding unit and a code stream synthesizer. The status register unit is used for registering and outputting each sequence number of at least one frame of received image; the data distributor is used for receiving the image and gating the S-O-F inserter or the differencing encoding unit according to the sequence number; the S-O-F inserter and the differencing encoding unit output processed data to the code stream synthesizer; and the code stream synthesizer carries out integration and sequentially gates output and compressed image information according to the sequence number. The invention further provides an image lossless compression method. The spatial redundancy in the image is effectively reduced; the image lossless compression system and method are easy for image alignment and rapid retrieval; an algorithm is simple and high in degree of parallelism; the image lossless compression system and method are easy for hardware transplantation of the algorithm; real-time image compression under an ultrahigh data bandwidth can be implemented; and image information is lossless.

Description

technical field [0001] The invention relates to the technical field of image information processing, in particular to an image lossless compression system and method. Background technique [0002] Image sensors have been widely used in various fields such as scientific research, industrial production, medical and health care, national defense and military affairs. With the continuous improvement of image resolution and image frame rate, human beings can observe more subtle object features or more short-term physical phenomena, which greatly enriches human observation methods and improves human cognition. [0003] However, with the rapid improvement of image performance parameters, it also brings a huge challenge that the amount of image data and data transmission bandwidth increase exponentially. Massive image data and ultra-high data transmission bandwidth have brought a series of technical difficulties for subsequent image transmission, storage and processing. [0004] A...

AI Technical Summary

Problems solved by technology

[0004] At present, it is relatively difficult to perform real-time compression without information loss for such high-resolution, ultra-high-bandwidth image data streams at high frame rates (especially for image data streams exceeding 10Gbps).

Limited by high frame rate, high data bandwidth, and processing capability, most of the existing high-speed image acquisition systems store raw image data directly without any processing

Therefore, there is a large amount of redundant data in the image data, which actually wastes storage capacity, occupies additional transmission bandwidth, and greatly increases the implementation cost of the imaging system.

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