Method for converting 2D video into 3D video in three-dimensional television system

Abstract

The invention discloses a method for converting 2D video into 3D video in a three-dimensional television system, which comprises the following steps: (1) obtaining a 2D video file to be converted, which is compressed by a video coding standard; (2) decoding to obtain original video, extracting the motion vector information of each 4*4 pixel block from a video decoder and converting the motion vector information into the motion amplitude; (3) describing an initial depth figure of each frame image by the motion amplitude; (4) iterating an edge correction filter wave to obtain a clear, accurate and dense depth figure of an object edge and finishing the expression of the 3D video. The invention obtains the initial depth figure by a middle result of the video decoder and well saves the processing time of signals and the cost of a final product; and an edge correction wave filter is designed so that the problem of obtaining the clear, accurate and dense depth figure of the object edge in an algorithm for obtaining depth based on an image is solved.

Description

technical field [0001] The invention relates to a method for converting 2D video to 3D video in a three-dimensional television system. Background technique [0002] In recent years, the view that "3D TV will become a new technological leap after high-definition digital TV" has become the consensus of academic circles and industrial circles. The 3D TV system can bring people an immersive 3D effect, allowing people to enjoy a visual feast. [0003] When trying to formulate standards for 3D TV content, encoding and transmission in many ways, a topic is naturally on everyone's table. That is how to deal with the 2D video content accumulated over the years? Will future 3D TVs be compatible with traditional 2D content playback, or will the original 2D content be converted into 3D in real time through some technical means, and then played three-dimensionally? Undoubtedly, once the latter technology matures, it will bring unimaginable economic value and unprecedented financial su...

AI Technical Summary

Problems solved by technology

[0017] This correlation-based optical flow method has its own shortcomings. First, it calculates the motion vector point by point. When dealing with high-resolution images, the amount of calculation will be quite huge; second, it uses a full search method to find the best The matching point does not use the spatial correlation between the image points, and the search process is very time-consuming; in addition, it only uses the time correlation of the two frames of images in one direction, which will cause some pixel points to be incorrectly matched.

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