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A Fast Mode Decision Algorithm Based on PU Texture Characteristics in HEVC

A decision-making algorithm and mode technology, applied in the fields of digital video signal modification, electrical components, image communication, etc., can solve the problems of increasing the complexity of mode selection and increasing the complexity of coding, saving coding time, reducing RMD calculation, and making it easier to effect achieved

Active Publication Date: 2017-10-20
HUAQIAO UNIVERSITY
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Problems solved by technology

[0004] However, while significantly improving the coding efficiency, compared with H.264, HEVC also greatly increases the complexity of coding, especially the complexity of mode selection caused by variable block segmentation is greatly increased.

Method used

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  • A Fast Mode Decision Algorithm Based on PU Texture Characteristics in HEVC
  • A Fast Mode Decision Algorithm Based on PU Texture Characteristics in HEVC
  • A Fast Mode Decision Algorithm Based on PU Texture Characteristics in HEVC

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Embodiment Construction

[0049] Such as image 3 As shown, a fast mode decision algorithm in a HEVC frame based on PU texture characteristics of the present invention includes four programs, wherein the specific steps of the first step program are as follows:

[0050] Step 1. Read in a PU and calculate the MAD of the current PU PU And set the proximity mode H by yourself; specifically:

[0051] Step 11, read in a PU, according to the formula:

[0052]

[0053] Calculate MAD PU , using MAD PU To describe the texture characteristics of each PU; among them, MAD PU Represents the mean absolute deviation, p(i,j) represents the pixel value at (i,j) in the PU, ave represents the mean value of all pixels in the PU, and M and N represent the number of rows and columns of the PU, respectively;

[0054] Step 12. According to MAD PU The size range value classifies each PU as follows:

[0055] MAD PU ≤4, the texture of PU is stable;

[0056] 4PU ≤8, the texture of the PU is semi-stationary;

[0057] M...

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Abstract

The present invention provides a HEVC intra-frame fast mode decision algorithm based on PU texture characteristics, including four programs, wherein the specific steps of the first step program are: 1. Read in a PU, calculate the MADPU of the PU and set the adjacent mode by itself H; 2, determine the first angle mode set according to the size of the MADPU; 3, calculate the JRMD value of the first angle mode concentration mode, select the center mode according to the size of the MADPU and the size of the PU, and determine the second angle mode set; 4 1. Add mode 0 and mode 1 to the second angle mode set to form the third angle mode set; 5. Perform RMD on the modes in the third angle mode set, and select different numbers of modes according to the size of the PU as the RDO initial candidate mode set. The invention can effectively reduce the complexity of HEVC intra-frame coding, and is beneficial to the real-time application of the HEVC coder.

Description

technical field [0001] The invention relates to the field of digital video communication, in particular to an HEVC intra-frame fast mode decision algorithm based on PU texture characteristics. Background technique [0002] In the past 30 years, with the development of the Internet and the sharp increase in video source data, people's requirements for video resolution and video quality have continued to increase, prompting the International Standards Organization to formulate a new generation of video coding standards HEVC (High Efficiency Video Coding) in 2010. . [0003] Like the previous generation of video coding standard H.264, HEVC adopts a hybrid coding structure, namely predictive coding, transform coding and entropy coding, but HEVC pays more attention to the compression performance and parallel processing of high-definition and ultra-high-definition video coding, and introduces many advanced Proven, efficient coding tools and techniques. For example, flexible bloc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/61H04N19/11
Inventor 冯桂吴良堤
Owner HUAQIAO UNIVERSITY
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