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http://dx.doi.org/10.5909/JBE.2012.17.4.565

Depth Map Denoising Based on the Common Distance Transform  

Kim, Sung-Yeol (Gwangju Institute of Science and Technology, School of Information & Communications)
Kim, Man-Bae (Kangwon National University, IT College, Dept. of Computer & Communications)
Ho, Yo-Sung (Gwangju Institute of Science and Technology, School of Information & Communications)
Publication Information
Journal of Broadcast Engineering / v.17, no.4, 2012 , pp. 565-571 More about this Journal
Abstract
During depth data acquisition and transmission, the quality of depth maps is usually degraded by physical noise and coding error. In this paper, a new joint bilateral filter based on the common distance transform is presented to enhance the low-quality depth map. The proposed method determines the amount of exploitable color data according to distance transform values of depth and color pixels. Consequently, the proposed filter minimizes noise in the depth map while suppressing visual artifacts of joint bilateral filtering. Experimental results show that our method outperforms other conventional methods in terms of noise reduction and visual artifact suppression.
Keywords
depth map; denoising; distance transform; joint bilateral filter;
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