Three-dimensional video coding depth map internal mode selection method based on edge complexity

A technology of 3D video and coding depth, which is applied in the direction of digital video signal modification, image communication, electrical components, etc., can solve the problems of wasting time, consuming computing time and complexity, and reduce computing complexity and coding time. value effect

Active Publication Date: 2016-07-20
HANGZHOU DIANZI UNIV
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Problems solved by technology

Because there are many internal modes in the depth map, it takes a lot of computing time and complexity to select the optimal prediction mode, and the proposed DMM mode needs to recalculate its rate-dist

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  • Three-dimensional video coding depth map internal mode selection method based on edge complexity
  • Three-dimensional video coding depth map internal mode selection method based on edge complexity
  • Three-dimensional video coding depth map internal mode selection method based on edge complexity

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Embodiment Construction

[0032] Such as figure 1 It is the present invention: the flowchart of the three-dimensional video coding depth map internal mode selection method based on edge complexity, and its specific steps are as follows:

[0033] Step (1): Use the edge detection operator to calculate the horizontal and vertical gradients of the current prediction block, and use the gradients to calculate the edge strength of each pixel.

[0034] Step (2): Judging each pixel point, if the edge strength is greater than the threshold, this pixel point is classified as an edge point.

[0035] Step (3): If the number of edge points is greater than the threshold, count the edge direction of the edge pixels; otherwise, the DMM mode is not added to the candidate mode.

[0036] Step (4): If the number of edge directions is counted μ∈[0,3), add the intra_Wedge mode to the candidate list, and if μ∈[3,8], add the intra_Contour mode to the candidate list.

[0037] Wherein, the step (1) includes: based on 3D-HEVC, ...

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Abstract

The invention provides a three-dimensional video coding depth map internal mode selection method based on edge complexity. The method is characterized by, to begin with, carrying out calculation on a divided depth map prediction unit through an edge detection operator on the basis of 3D-HEVC software; if the number of edge points of the current prediction unit is larger than a certain threshold value, judging the PU block has an edge; summarizing edge directions of edge pixel points under the condition that the PU block has the edge, and dividing the edge directions theta (i,j) into four directions; if the number mu of the summarized directions of the prediction unit meets mu belongs to [0,2), adding an intra-Wedge mode to a mode candidate list; if mu belongs to [2,4], adding an intra-Contour mode to the candidate list; if the number of the edge points is smaller than the threshold value, not adding a depth map internal encoding mode DMM to the mode candidate list. The method saves coding calculation amount and time under the condition of ensuring coding quality, and quickly determines 3D-HEVC depth map internal encoding mode.

Description

technical field [0001] The invention relates to the technical field of multi-viewpoint video processing, in particular to a method for selecting an internal mode of a three-dimensional video coding depth map based on edge complexity. Background technique [0002] In recent years, 3D applications have received widespread attention, stereoscopic display has developed rapidly, and a new technology - free stereoscopic display has begun to emerge and be applied to business. In order to achieve free stereoscopic display, the 3D extension (3D-HEVC) of High Efficiency Video Coding (HEVC) was developed by the 3D Video Coding Extension Development Joint Collaborative Team (JCT-3V), which is currently the most compressed MVD (multi-viewvideoplusdepth) data format. Advanced coding standards, introducing new predictive coding techniques to improve the compression efficiency of MVD data. 3D-HEVC combines the time and space of video and the correlation between texture map and depth map to...

Claims

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Application Information

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IPC IPC(8): H04N19/597H04N13/00
CPCH04N13/139H04N19/597H04N2013/0085
Inventor 张桦项璐露阳宁凯戴国骏吴以凡
Owner HANGZHOU DIANZI UNIV
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