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An Intra-frame Lossless Compression Coding Method Based on Hevc Framework

A technology of lossless compression and encoding method, which is applied in digital video signal modification, electrical components, image communication, etc., and can solve problems such as inflexibility, increased time complexity, and high complexity

Active Publication Date: 2016-02-10
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Lossless compression technology has developed from simple linear prediction to nonlinear prediction, which improves the accuracy of prediction, but undoubtedly increases the time complexity
Most traditional lossless compression methods are performed pixel by pixel, which requires selecting a prediction mode for each pixel, which is not flexible enough and brings high complexity

Method used

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  • An Intra-frame Lossless Compression Coding Method Based on Hevc Framework
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  • An Intra-frame Lossless Compression Coding Method Based on Hevc Framework

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Embodiment Construction

[0033] Such as figure 1 As shown, this HEVC frame-based intra-frame lossless compression coding method includes the following steps:

[0034] (1) Based on the HEVC framework, adaptively adjust the size of the coding unit CU according to the smoothness of the image;

[0035] (2) Perform differential prediction coding DPCM on the current prediction unit PU;

[0036] (3) Perform rate-distortion optimization RDO, select the optimal segmentation scheme and the optimal prediction mode;

[0037] (4) Statistical modeling, calculate and count the model for each pixel, and obtain the number of each model and the sum of residuals;

[0038] (5) Calculate the residual energy value of the pixels adjacent to the current prediction pixel of the current PU. The residual energy value is the sum of the absolute values ​​of the adjacent pixel residuals. If the residual energy value is greater than the predetermined value, perform step (6) , otherwise go to step (7);

[0039] (6) Perform error...

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Abstract

The invention discloses an intra-frame lossless compression coding method based on an HEVC (high efficiency video coding) frame, wherein the method is low in time complexity and high in prediction accuracy and increases compression ratio. By the aid of the HEVC frame, a coding unit can be adaptively divided according to image flatness, the best division scheme is determined, and the optimal prediction mode is selected. DPCM (differential pulse code modulation) differential codes are used for preliminary prediction, prediction errors are possibly large when only the differential codes are used for an area with complex texture, and accordingly, prediction values are corrected for the area by means of error compensation. By combining the two methods, reduction of time complexity and improvement of prediction accuracy can be effectively compromised. Distribution characteristics of residual errors depend on the prediction mode, so that the scanning sequence of the residual errors is determined according to the prediction mode, and entropy coding can be more effective.

Description

technical field [0001] The present invention belongs to the technical field of digital image lossless compression coding, and in particular relates to an intra-frame lossless compression coding method based on HEVC (High Efficiency Video Coding, High Efficiency Video Coding) framework. Background technique [0002] In digital image compression, compression techniques are widely used to reduce the amount of data. Traditional compression coding is based on the theory of information theory. It is believed that there is redundancy in general information, such as time redundancy, space redundancy, structural redundancy, psychological redundancy, statistical redundancy, etc., by removing various redundant information. achieve the purpose of compression. Classic compression coding methods include predictive coding, transform coding, statistical coding (entropy coding) and so on. Predictive coding and transform coding are the most commonly used techniques in current image encoders...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/593H04N19/11H04N19/176H04N19/61
Inventor 丁文鹏刘铁华施云惠尹宝才
Owner BEIJING UNIV OF TECH