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Proceedings Paper

Post-processing for disparity map enhancement using modified guided image filter
Author(s): Yong-Jun Chang; Yo-Sung Ho
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Paper Abstract

Stereo matching methods estimate the depth information from stereo images using the characteristics of binocular disparity. After they find corresponding points between the left and right viewpoint images, the disparity value of two corresponding points is calculated. Since stereo matching methods search for corresponding points based on features in the stereo images, it is possible to estimate the accurate disparity value in the textured region. On the other hand, the inaccurate disparity value is estimated in the textureless and occluded regions and it causes disparity errors. The guided image filter is used for the disparity error refinement. However, the disparity refinement using this filter causes blurred pixels near the edge region in the refined disparity map. Therefore, we propose a post-processing method to alleviate this problem. The proposed method detects disparity errors in the initial disparity. After they are detected, we refine disparity errors using the modified guided image filter that applies the joint bilateral filter to the coefficient smoothing step in the guided image filter. As a result, the proposed method enhances the initial disparity map by alleviating the blurring artifact near the edge region in the disparity map.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110492M (22 March 2019); doi: 10.1117/12.2521245
Show Author Affiliations
Yong-Jun Chang, Gwangju Institute of Science and Technology (Korea, Republic of)
Yo-Sung Ho, Gwangju Institute of Science and Technology (Korea, Republic of)

Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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