Method for code stream distribution of depth image and vein image

Abstract

The invention discloses a bit stream distribution method for a range image and a vein image, which comprises the following steps of (1) calculating the complexity of the range image according to the average value of square of the luminance difference between adjacent pixels in the range image and square of the average value of the luminance difference; (2) calculating the complexity of the vein image according to the average value of square of the luminance difference between the adjacent pixels of the vein image and square of the average value of the luminance difference; (3) calculating theamount of bit stream distributed to the range image and the amount of the bit stream distributed to the vein image according to the complexity of the range image and the complexity of the vein image.The invention sets smaller quantization parameters for a strong edge macro block, thereby effectively protecting edge information of the range image and improving the drawn quality of free-viewpoint images of clients.

Description

technical field [0001] The present invention relates to digital image processing technology, in particular, to a method for drawing virtual viewpoint images in a stereoscopic television system Background technique [0002] With the rapid development and wide application of digital video technology, people have higher and higher requirements for video quality and form. Traditional two-dimensional flat video can no longer meet people's needs for real and natural reproduction of scenes, so it can provide stereoscopic Stereoscopic / multi-viewpoint video technology with interactive operation functions has attracted more and more attention from the industry. Compared with monocular video, stereoscopic / multi-viewpoint video has increased scene depth information representation, and has broad application prospects in fields such as stereoscopic TV, virtual viewpoint TV, visual conferencing with a sense of presence, and virtual reality (see Hou Chunping, Yang Lei, Song Xiaowei, Dai Ju...

AI Technical Summary

Problems solved by technology

If the code stream allocated to the depth image is too small, it will cause the edge deformation of the object in the virtual viewpoint image, which will affect the quality of the virtual viewpoint image drawing; if the code stream allocated to the texture image is too small, it will cause the surface texture of the object in the virtual viewpoint image to be blurred , affecting the quality of virtual viewpoint image rendering

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