Improved HEVC sample point self-adaption compensation method

A sample point adaptation and compensation method technology, applied in the field of video image coding, can solve the problems of continuous distortion and affect the subjective quality of the picture, and achieve the effect of improving the coding performance and improving the subjective evaluation quality.

Inactive Publication Date: 2015-12-09
TIANJIN NORMAL UNIVERSITY
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Problems solved by technology

The ringing effect is a continuous distortion phenomenon at the edge of the object in the image, which greatly affects the subjective quality of the image

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  • Improved HEVC sample point self-adaption compensation method

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Embodiment Construction

[0036] The HEVC sample point adaptive compensation method of the present invention will be described in detail below with reference to the accompanying drawings. The specific examples described below are only the best implementation modes of the present invention, and should not be construed as limiting the present invention.

[0037] image 3 It is a flow chart of the improved HEVC sample point adaptive compensation method of the present invention. Such as image 3 As shown, the improved HEVC sample point adaptive compensation method uses BO and EO algorithms to perform SAO filtering on the image, and the method includes the following steps:

[0038] The first step, SAO filter mode condition discrimination and classification statistics

[0039] In this step, the CTB is used as the processing unit to traverse all the pixels in the CTB, to distinguish the SAO filter mode BO and EO filter conditions, to classify and count the number of pixels N, and to calculate the differenc...

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Abstract

The invention discloses an improved HEVC sample point self-adaption compensation method. The BO algorithm and the EO algorithm are adopted for performing SAO filtering on images. The sample point self-adaption compensation algorithm is adopted for solving ring effects caused by transform and quantization in the current video coding standard HEVC in the loop filter technology. The current video coding standard HEVC comprises BO and EO algorithms, but sideband distribution conditions are not fully taken into consideration in the BO algorithm which only transmits four continuous sidebands. According to the invention, by use of an image histogram, the sideband distribution conditions can be sufficiently analyzed; intra-frame prediction mode type texture information is extracted in a self-adaption manner; and for different sizes of CTB, four kinds of BO filter modes are added, BO filter pattern discrimination process is improved, and the improved self-adaption compensation method is provided. The experimental results show that compared with the HM10.0, coding performance is improved; bit rate gain of chromaticity can reach -7.53%; and subjective assessment quality of image edge parts is obviously improved.

Description

technical field [0001] The present invention relates to a video image encoding method, in particular to an improved HEVC (High Efficiency Video Coding, High Efficiency Video Coding) sample point adaptive compensation method. Background technique [0002] With the massive storage of data, the diversification of storage methods, and the improvement of computer network communication software and hardware, ultra-high-definition and ultra-high-resolution video has become a strong demand of users. The H.265 / HEVC video compression coding standard has been continuously optimized and innovated by outstanding scholars of the ISO Moving Picture Experts Group (MPEG, Moving Picture Experts Group) and the ITU Video Experts Group (VCEG, Video Coding Experts Group) for three years, inheriting the previous generation of the H.264 / AVC standard Advantages, the coding efficiency is increased by nearly 50%, especially in high-resolution videos such as 8K×4K and 1080p, which has attracted extensi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/103H04N19/117H04N19/147H04N19/154H04N19/186
Inventor 赵川周曦国冯为嘉
Owner TIANJIN NORMAL UNIVERSITY
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