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Grouped adaptive entropy coding compression method

A compression method and self-adaptive technology, applied in the direction of digital video signal modification, electrical components, image communication, etc., to achieve the effect of reducing chip area and power consumption, reducing bandwidth requirements, and high compression ratio

Active Publication Date: 2016-05-18
北京中星天视科技有限公司
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Problems solved by technology

So far, lossless compression has achieved many technical achievements, commonly used are context-based, adaptive, lossless image coding (CALIC), low complexity image lossless compression (LowComplexityLosslessCompressionforImages, LOCO-I) And the Joint Photographic Experts Group-Lossless Compression Standard (JPEG-LS) and other effective compression algorithms / standards; but the above compression algorithms / standards generally have the problem of low compression ratio (CompressionRatio, CR)
For example, the lossless compression of the JPEG-LS standard can only achieve a compression ratio of 2 to 3.

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0025] Huffman coding is selected for distortion-free entropy coding. The basic idea of ​​Huffman coding is the variable-length optimal coding theorem, that is, coding is performed according to the probability of occurrence of symbols in the source data. The smaller the symbol, the longer the code word is allocated, so as to achieve the purpose of representing the data source with as few bits as possible.

[0026] The complexity of the details of different types of images will be very different. For example, the content of the image of the sky or the wall is more consistent, while the image of a leaf has extremely high variation details. It is difficult to satisfy all image types solely by relying on one Huffman code table. For this reason, the embodiment of the p...

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Abstract

An embodiment of the invention provides a grouped adaptive entropy coding compression method which achieves higher compression ratio. The method comprises the following steps: determining at least two Huffman code tables; when a pixel set is coded, calculating the length of compressed data after each Huffman code table codes the pixel set, and determining the Huffman code table corresponding to the shortest compressed data; and using the Huffman code table corresponding to the shortest compressed data to code the pixel set.

Description

technical field [0001] The invention relates to an image compression method, in particular to a packet adaptive entropy coding compression method. technical background [0002] With the increasing performance and complexity of System on Chip (SoC), off-chip memory (memory) bandwidth is gradually becoming a huge challenge in chip design. [0003] Although image lossy compression can reduce data redundancy and bandwidth requirements to a large extent, it sacrifices more texture information. Information loss cannot be tolerated in many application fields such as medical images, satellite images, etc. [0004] Image lossless compression technology can completely restore the original image content, so it is increasingly becoming a research hotspot. So far, lossless compression has achieved many technical achievements, commonly used are context-based, adaptive, lossless image coding (CALIC), low complexity image lossless compression (LowComplexityLosslessCompressionforImages, LO...

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Application Information

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IPC IPC(8): H04N19/13H04N19/182H04N19/124H04N19/154
Inventor 张韵东寿建能
Owner 北京中星天视科技有限公司
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