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Method of obtaining non-critical frame depth image and 2D video stereoscopic method

A non-key frame and depth image technology, applied in the field of image processing, can solve the problems of reducing the accuracy of depth image propagation and the degradation of video image quality

Inactive Publication Date: 2015-10-21
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The accuracy of the depth image is highly dependent on the motion estimation vector, and the error of the motion estimation greatly reduces the accuracy of the depth image propagation, resulting in the degradation of the image quality of the video after converting to 3D video based on the depth image

Method used

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Embodiment 1

[0067] The present invention provides a method for acquiring a depth image of a non-key frame, the method for acquiring a depth image of a non-key frame, such as figure 1 shown, including:

[0068] 01. Acquire a 2D video, extract a key frame and a non-key frame from the 2D video, and determine a motion vector of the non-key frame relative to the key frame.

[0069] 02. Extract the depth image of the key frame from the 2D video, and determine the initial depth image of the non-key frame in combination with the motion vector.

[0070] 03. In the initial depth image, construct a detection window, perform smoothing and filtering processing on the initial depth image through the detection window, optimize the initial depth image in combination with geodesic distance data, and obtain the non-key frame An optimized depth image of .

[0071] In implementation, in order to obtain a high-quality depth map of a non-key frame based on a depth map of a key frame in a 2D video, the follow...

Embodiment 2

[0144] The present invention provides a method for stereoscopic 2D video based on acquiring depth images of non-key frames, and the method for stereoscopic 2D video includes:

[0145] Acquiring 2D video, extracting key frames and non-key frames from the 2D video, and determining motion vectors of the non-key frames relative to the key frames;

[0146] extracting the depth image of the key frame from the 2D video, and determining the initial depth image of the non-key frame in combination with the motion vector;

[0147] In the initial depth image, construct a detection window, perform smoothing filtering on the initial depth image through the detection window, optimize the initial depth image in combination with geodesic distance data, and obtain the optimized depth of the non-key frame image;

[0148] A virtual view is constructed according to the optimized depth image, and a 3D video corresponding to the 2D video is obtained according to the virtual view.

[0149] In imple...

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Abstract

The invention discloses a method of obtaining a non-critical frame depth image and a 2D video stereoscopic method, belonging to the image processing field. The method comprises: obtaining the motion vector of a non-critical frame in a 2D video relative to a critical frame so as to provide convenience for obtaining the initial depth image of the non-critical frame in dependence on the depth image of the critical frame, furthermore adding a geodesic distance to perform smoothing filtering processing on the initial depth image, and finally obtaining a processed optimized depth image. The method can overcome the disadvantage that the accuracy of a depth image is reduced when the depth image obtained by the prior art depends too much on a motion estimation vector, and leads to larger errors of a motion vector.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for acquiring a non-key frame depth image and a 2D video stereoscopic method. Background technique [0002] In recent years, with the rapid development of 3D stereoscopic (Stereoscopic 3D, S3D) video media technology, the S3D video function brings consumers more vivid and lifelike 3D visual effects, and has become a selling point of high-end TVs today. Unfortunately, according to a recent survey and research, due to the lack of S3D video resources, consumers use S3D video functions for less than 1% of the total TV viewing time in watching 3DTV. Therefore, in order to make up for the shortage of S3D video resources, it is necessary to obtain 3D content by shooting with a 3D stereo camera. [0003] Converting 2D video resources to 3D stereo format is the process of stereoscopic 2D video, that is, by estimating depth images from 2D videos, and generating 3D ster...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N13/00
Inventor 郑喆坤蔡济济陈旭凤崔玉
Owner XIDIAN UNIV
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