3d-hevc fast depth coding method based on Bayesian decision theorem

Abstract

The present invention proposes a 3D-HEVC fast depth coding method based on Bayesian decision theorem, the steps of which are: firstly determine the depth map tree block, and analyze the inter-frame pattern distribution between different quantization parameters; on the one hand, use Bayesian Calculating the posterior probability of the depth map tree block according to the Sri Lankan rule, and judging whether the interaction mode of the depth map tree block is the best. It is determined that the best coding mode of the depth map tree block is the SKIP / Merge mode; on the other hand, it is calculated according to the Bayesian rule The Bayesian cost of the depth map tree block, according to whether the Bayesian cost is less than the tolerance parameter, early determines the termination of the CU pruning of the depth map tree block, determines the best coding mode, or uses the 3D‑HEVC encoder to split the depth map tree block CU, test other coding modes of the depth map tree block to find the best coding mode. The present invention avoids testing other inter-frame modes of depth map coding by introducing the Bayesian rule, not only ensuring the quality of similar virtual viewpoints, but also significantly reducing the complexity of 3D-HEVC depth coding.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a 3D-HEVC fast depth coding method based on Bayesian decision theorem. Background technique [0002] In the past few years, three-dimensional (3D) video has attracted great attention through applications such as 3D movies, 3D games, and FTV. MPEG is currently developing a depth-enhanced 3D presentation called Multiview Video Plus Depth (MVD). The depth map is collocated with the texture image, the depth map represents the geometric distance between the object and the camera, and it enables the receiver to generate an intermediate view by using depth image based rendering (DIBR). To improve the compression efficiency of depth maps, JCT-3V developed 3D High Efficiency Video Coding (3D-HEVC). [0003] Depth maps are characterized differently from texture videos because depth images have large uniform regions demarcated by sharp object boundaries. Unlike texture e...

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Problems solved by technology

[0006] In view of the deficiencies in the above-mentioned background technology, the present invention proposes a 3D-HEVC fast depth coding method based on Bayesian decision theorem, which solves the technical problems of high complexity and poor rate-distortion RD performance of existing coders

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