Blocking Artifact Reduction in DIBR Using an Overcomplete 3D Dictionary

Jung, Cheolkon; Jiao, Licheng; Qi, Hongtao

doi:10.1007/978-3-642-35725-1_26

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2013

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“…[17][18][19][20][21] Sparse representation is based on the assumption that original signals can be accurately recovered by several elementary signals called atoms. Some researchers have made significant contributions to image denoising, restoration, and superresolution using sparse representation.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional dictionary-based deblocking for high-quality stereoscopic view generation

Jung

Sun

et al. 2013

J. Electron. Imaging

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Image quality and depth perception rates in three-dimensional television (3-D TV) are undesirably decreased by coding due to the loss of high-frequency components caused by a block-based discrete cosine transform transform. Representative coding artifacts are blocking artifacts that seriously degrade the picture quality and depth perception rates. We propose a new blocking artifact reduction method in 3-D TV using an overcomplete 3-D dictionary. We first generate the overcomplete 3-D dictionary from natural and depth images using the k-singular value decomposition algorithm. Then, we perform deblocking using the 3-D dictionary after estimating an error threshold of the objective function by the third-order polynomial fitting. Experimental results demonstrate that the proposed method can effectively reduce annoying blocking artifacts in compressed 3-D images, i.e., video-plus-depth, and generate high-quality 3-D stereoscopic views.

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