A 3D video residual encoding mode selection method with smooth texture information

Abstract

The invention proposes a 3D video residual error coding mode selection method employing texture smooth information. The method employs texture image information to classify prediction units (PUs), and the selection modes of residual error coding modes of different types of Pus are different. The method comprises the following steps: introducing a classifier at a residual coding part to classify the Pus, collecting the statistics data, and calculating a classifier threshold value T; judging whether the horizontal pixel gradient of the current PU is less than the classifier threshold value T or not: calculating the rate-distortion cost when all modes in a mode list employ SDC residual error coding if the horizontal pixel gradient of the current PU is less than the classifier threshold value T, and coding the current PU through the SDC residual error coding; or else respectively calculating the rate-distortion cost when all modes in the mode list employ non-SDC and SDC residual error coding, comparing the two rate-distortion costs, and selecting the optimal residual error coding mode to code the current PU. The method effectively reduce the complexity of residual error coding of a depth image while guaranteeing that the quality of a synthesized video does not decrease, and reduces the coding time needed by intra-frame prediction.

Description

technical field [0001] The invention belongs to the technical field of video coding and decoding, and in particular relates to a method for selecting a 3D video depth image residual coding mode. Background technique [0002] With the development of 3D movies and television, 3D video technology has become a research hotspot in recent years. H.265 is a new generation of international video coding standard released by the Joint Video Development Group in 2013. Its main structure is similar to H.264, but H.265 can transmit higher-quality video under limited bandwidth, that is, H.265 only needs half the bandwidth of H.264 to transmit video of the same quality. At the same time, H.265 uses various methods to reduce the bit rate. Compared with H.264, the most important development of H.265 is the expansion of the 3D-HEVC standard. [0003] The 3D video adopts the multi-view plus depth map format (MVD), which encodes the captured view image and its associated depth map, and uses ...

AI Technical Summary

Problems solved by technology

In this process, step 2) DMM mode selection and step 3) residual mode selection will consume most of the time because there are a large number of mode candidates

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