Abstract
It has been reported that the image quality and depth perception rates are undesirably decreased by compression in DIBR. This is because high-frequency components are filtered by compression, and thus several compression artifacts occur. Blocking artifacts are the most representative ones which seriously degrade the picture quality, and are annoying to viewers. The fundamental cause of the coding artifacts is that the 3D contents are delivered to users over the existing 2D broadcast infrastructures which employ BDCT coding as image compression techniques. In this paper, we propose a new deblocking method in 3D images, i.e., video-plus-depth, using an overcomplete 3D dictionary. We generate the 3D dictionary from natural and depth images using the k-singular value decomposition (K-SVD) algorithm, and estimate an error threshold to utilize the 3D dictionary using a compression factor of the compressed images. Experimental results demonstrate that the proposed method is very effective in reducing undesirable blocking artifacts in 3D images.Keywords3D dictionaryblocking artifactdepth-image-based rendering (DIBR)sparse representation
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