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Research of Color Correction Method for Multiview Video

Author: XiongZuo
Tutor: YuLi
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: Multiview Video Color Correction Quadtree segmentation Residual energy Histogram equalization
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 23
Quote: 0
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Abstract


The Multiview Video by multiple cameras sync shooting the same scene from different angles to get a different viewpoint. With the increase in the number of the camera, however, the amount of data of the multi-view video is also multiplied. Therefore, the multi-viewpoint video system data compression, and data transmission and the arbitrary viewpoint drawing are problems to be solved. The eyepoint prediction is a key technology to solve these problems. However, due to the location, the scene light intensity between the different cameras, camera calibration, the CCD noise, shutter speed and exposure, etc. a variety of factors, such that the different viewpoints of the video sequence of the actually obtained on the color and brightness differences, and these differences will be reduce the correlation between the viewpoint affect the viewpoint inter prediction. Therefore, it is necessary the use of appropriate color correction algorithm to eliminate the image brightness and chromaticity differences between the different viewpoints, thereby improving the precision of prediction and the encoding efficiency of the multi-viewpoint video processing cross viewpoint. This paper first introduces the multi-view video system and its key technology, and then details the current condition and the main method of color correction. In the existing color correction method, the multi-view video disparity estimation using block matching algorithm, however, because all the pixels inside the block assigned with the same parallax vector, then, when a divided block containing the plurality of moving objects, or the object edge, obscured and exposed areas, the disparity estimation disparity vector is not correct, so fixed to match the block size will reduce the reliability of the disparity estimation, makes limited correction effect. This paper presents a multi-view color correction method based on the variable size block matching to solve the above problems. First estimate obtained by the parallax matching block, then the reliability of the matching blocks are classified according to the residual energy, not a reliable match block further processing, according to the quadtree method, variable block segmentation, and variable block size disparity estimation re-search, and the gradual elimination of the matching block unreliability box effect and edge blur phenomenon. Final color correction coefficient obtained by the linear regression method thereby correcting the difference in color between the different viewpoints, and using the luminance histogram equalization as a post-treatment process, thereby further improving the quality of the correction, to obtain better subjective and objective effects.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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