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Self-adaptive depth map filtering method

A depth map, adaptive technology, applied in image communication, electrical components, stereo systems, etc., can solve problems such as inaccurate motion estimation

Active Publication Date: 2015-06-03
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology usually only refers to the texture information in the process of pixel motion estimation, but the depth information also reflects the motion state of the object, resulting in inaccurate motion estimation

Method used

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  • Self-adaptive depth map filtering method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Such as figure 1 Shown:

[0056] Select the standard test sequence "ballet" for the experiment.

[0057] First, the 3-viewpoint depth map is compressed with HEVC 13.0, the QP is 40, the loop filter is turned off, and the texture map is not processed.

[0058] S1. Define the airspace reference depth map and the time domain reference depth map. The specific steps are as follows:

[0059] Let the current depth image to be filtered be the depth image at the third viewpoint time 3 (the third frame), define the depth image corresponding to the current moment t=3 as the spatial reference depth image, and define the depth image corresponding to the time m as the temporal reference depth image, where m=2,4;

[0060] S2. Perform the spatial reference depth map, the temporal reference depth map, the texture map corresponding to the spatial reference depth map, and the texture map corresponding to the temporal reference depth map described in S1. The mirror image extension of ...

Embodiment 2

[0083] Such as figure 1 Shown:

[0084] Select the standard test sequence "ballet" for the experiment.

[0085] The 5-viewpoint depth map is compressed with HEVC 13.0, the QP is 40, the loop filter is turned off, and the texture map is not processed.

[0086] S1. Define the airspace reference depth map and the time domain reference depth map. The specific steps are as follows:

[0087] Let the current depth image to be filtered be the depth image at the 5th viewpoint time 6 (frame 6), define the depth image corresponding to the current moment t=6 as the spatial reference depth image, and define the depth image corresponding to the time m as the temporal reference depth image, Among them, m=4,5,7,8;

[0088] S2. Perform the spatial reference depth map, the temporal reference depth map, the texture map corresponding to the spatial reference depth map, and the texture map corresponding to the temporal reference depth map described in S1. mirror extension of pixels. The spat...

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Abstract

The invention belongs to the technical field of processing of a three-dimensional video and particularly relates to a depth-based method for filtering depth maps in the three-dimensional video. The method comprises the following steps: finding reference pixel points in depth maps to be filtered and neighborhood depth maps, predicting the movement of pixel points to be filtered by using pixel vectors, and selecting the reference pixel points according to a prediction result; screening pixel points which are highly related to the pixels to be filtered in the reference pixel points. Different methods are used for the process of screening the pixel points which are highly related to the pixels to be filtered in smooth areas and boundary areas, and the final pixel points for filtration can be screened more accurately. Through the method, the continuity of the depth maps at moments after filtering in the time domain direction can be improved; the different methods are adopted in the smooth areas and the boundary areas, so that the smooth areas become more smooth; meanwhile, the boundary characteristics of the depth maps are retained; the method has a certain capability of correcting the boundaries of the depth maps, so that the distortion of the edge area of a synthesized image can be obviously reduced; the quality is obviously improved.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional video processing, and in particular relates to a filtering method of a depth map in a depth-based three-dimensional video. Background technique [0002] The depth-based 3D video content consists of a texture map and a depth map. The texture map intuitively presents the texture characteristics of the object, and the depth map reflects the distance between the object and the camera. Using the rendering technology based on the depth image, the specified virtual view can be synthesized. texture image. Among them, as the important information of virtual view synthesis, the depth map often introduces a lot of noise in the process of acquisition, compression and transmission, and these noises will cause serious geometric distortion during the synthesis process. The depth image filtering method can effectively remove the noise in the depth image, thereby improving the quality of virtual view sy...

Claims

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Application Information

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IPC IPC(8): H04N13/00
Inventor 朱策王昕周益民付闻浩程洪
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA