Improved sample adaptive offset filtering method based on histogram analysis

A sample adaptive and histogram technology, applied in the field of video coding and decoding, can solve problems such as difficulty in meeting the requirements of subjective and objective visual quality of video, inappropriate filtering with offset, etc., and achieve the effect of improving objective quality and accuracy.

Inactive Publication Date: 2014-03-19
ACAD OF BROADCASTING SCI SARFT +1
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Second, motion estimation and motion compensation are also a cause of blockiness
For the above three cases, the band offset filter in the existing ad

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  • Improved sample adaptive offset filtering method based on histogram analysis
  • Improved sample adaptive offset filtering method based on histogram analysis
  • Improved sample adaptive offset filtering method based on histogram analysis

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[0047] The present invention will be described in further detail below in conjunction with the drawings:

[0048] An improved sample adaptive offset filtering method based on histogram analysis is implemented based on the following idea: According to the gray value of all sample values ​​in the coding tree block of the reconstructed frame, analyze the histogram distribution, according to the analysis It turns out that the original sample adaptive offset filtering method is not applicable for more than half of the coding tree blocks. In order to better adapt to the coding tree blocks with different histogram distribution characteristics, the pixel classification method among the three sample adaptive offset filtering methods is introduced to improve the efficiency of sample adaptive offset filtering. Specifically: First, count the histogram distribution of the pixel samples of the coding tree block in the video sequence, classify them according to the defined classification method...

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Abstract

Provided is an improved sample adaptive offset filtering method based on histogram analysis. The method comprises the steps of analyzing histogram distribution according to gray values of sample values in coding tree blocks of a reconstruction frame, classifying the coding tree blocks according to the histogram distribution, dividing adaptive sample offset filtering into a narrow coding tree block mode, a wide coding tree block mode, a double-center coding tree block mode and a default mode, respectively calculating the optimal rate distortion cost values under different classification modes, selecting the mode corresponding to the minimum rate distortion cost value as a truly-adopted band filtering mode and coding and transmitting a corresponding band starting position and an offset value. Three more accurate and more efficient filtering classification methods are newly added according to the characteristics of coding tree block histogram distribution so as to improve the accuracy of the sample adaptive offset filtering method, and the subjective and objective quality of videos can be effectively improved under the condition of same code rate.

Description

technical field [0001] The invention belongs to the technical field of video encoding and decoding, in particular to an improved sample adaptive offset filtering method based on histogram analysis. Background technique [0002] In recent years, high-definition / ultra-high-definition video coding technology, as the basic core technology of future home theater, digital broadcast TV, network video, high-definition movie and other services, has become the focus of the industry. The development of high-definition / ultra-high-definition video services has put forward new requirements for existing image and video compression technologies: the compression efficiency of video coding needs to be further improved, and more attention should be paid to subjective quality of images and videos. Although the performance of H.264 / AVC has been greatly improved compared with MPEG4, etc., for high-definition / ultra-high-definition video communication, its compression ratio still has a certain gap ...

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Application Information

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IPC IPC(8): H04N19/82H04N19/61G06T5/40
Inventor 郭晓强罗斌姬王东飞夏治平涂钦王辉淇崔圆圆李敬娜刘宛于洋
Owner ACAD OF BROADCASTING SCI SARFT
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