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Complexity image lossless compression method supporting random access

A lossless compression and random access technology, applied in image communication, digital video signal modification, electrical components, etc., can solve the problems of not completely removing the redundant control characters in the airspace pixels, and failing to achieve compression efficiency, etc., to achieve The effect of high data compression ratio, improved compression ratio, and high overall entropy coding performance

Inactive Publication Date: 2014-03-05
CHINA JILIANG UNIV
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Problems solved by technology

This type of lossless compression technology does not reach an average compression efficiency of 50%, and cannot completely remove the redundancy between spatial pixels and the statistical redundancy between control characters, and there is room for further improvement in compression efficiency

Method used

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  • Complexity image lossless compression method supporting random access
  • Complexity image lossless compression method supporting random access
  • Complexity image lossless compression method supporting random access

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Embodiment Construction

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0027] (1) Divide the image into macroblocks, and divide the macroblock into three areas, the first row, the first column, and a 15x15 pixel area. For a 15x15 pixel area, it is divided into 5x5 small blocks of 3x3.

[0028] (2) Intra-frame prediction is used to remove data dependence between macroblocks.

[0029] For the first row, use the horizontal direction prediction mode;

[0030] For the first column, use the vertical direction prediction mode;

[0031] For each small block, block-level prediction is adopted, or pixel-level prediction is performed on 3×3=9 pixels in the small block. Both block-level prediction and pixel-level prediction support horizontal and vertical prediction to make full use of the horizontal or vertical correlation between pixels in a macroblock to maximize prediction efficiency. In order to ensure that there is no data congest...

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Abstract

The invention relates to a complexity image lossless compression method supporting random access and belongs to the technical field of video image compression. The method includes the following steps that an image is segmented into macro blocks which are divided into three regions; intra-frame detection is carried out; a mode with the minimal code bit cost is chosen to obtain a residual image of the optimal predicting mode; the residual image is segmented into different small blocks to undergo self-adaption variable-length encoding and lossless compression code streams are obtained through a compression code stream generating module. The problem of data dependency of boundary pixels among the macro blocks is solved by dividing the macro blocks into the three regions. A high data compression rate can be achieved by means of a block / pixel self-adaption predication, differential encoding and self-adaption variable-length encoding combination compression method. The lossless compression effect for the 1080p resolution ratio can be more than 50%.

Description

technical field [0001] The invention belongs to the technical field of video image compression, and in particular relates to a lossless compression method for complex images supporting random access. Background technique [0002] With the rapid development of video codec technology, integrated circuit design and manufacturing, and network communication technology, the application of digital media (such as digital TV, laser disc, video surveillance, etc.) Decoder design faces huge challenges in terms of computing resources and memory access bandwidth. [0003] In the high-definition and ultra-high-definition video codec chip structure, the original image frame and the decoded image reference frame are stored in the external memory, and the external memory access bandwidth is the bottleneck of the structural design. At present, the industry is gradually evolving to 4K resolution. Basically, the pixels of ultra-high-definition (4Kx2K) images are four times that of 1080P resolu...

Claims

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Application Information

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IPC IPC(8): H04N19/13H04N19/172H04N19/182H04N19/61
Inventor 殷海兵胡红旗夏哲雷
Owner CHINA JILIANG UNIV
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