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Intra-frame lossless compression coding method based on HEVC (high efficiency video coding) frame

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

Active Publication Date: 2013-04-03
BEIJING UNIV OF TECH
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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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  • Intra-frame lossless compression coding method based on HEVC (high efficiency video coding) frame
  • Intra-frame lossless compression coding method based on HEVC (high efficiency video coding) frame
  • Intra-frame lossless compression coding method based on HEVC (high efficiency video coding) frame

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Embodiment Construction

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

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

[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, perform model calculation and statistics on 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 residuals of adjacent pixels. If the residual energy value is greater than the predetermined value, perform step (6) , otherwise go to step (7...

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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 invention belongs to the technical field of lossless compression coding of digital images, and in particular relates to an intra-frame lossless compression coding method based on an 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 in it. Traditional compression coding is based on the theory of information theory, which believes that there is redundancy in general information, such as temporal redundancy, spatial redundancy, structural redundancy, psychological redundancy, statistical redundancy, etc., by removing various redundant information. achieve the purpose of compression. Classical 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 for current ...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N7/50H04N19/61
Inventor 丁文鹏刘铁华施云惠尹宝才
Owner BEIJING UNIV OF TECH
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