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Simultaneous deblocking and error concealment for decoded visual signal

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4 Author(s)
Guangtao Zhai ; Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong Univ., Shanghai, China ; Xiaokang Yang ; Weisi Lin ; Wenjun Zhang

We propose a unified deblocking/error-concealment algorithm for simultaneously alleviating blockiness and restoring lost blocks. Blockiness and block loss are two of the most frequently encountered artifacts for block-DCT based visual signal coding and transmission. The problem of error-concealment and deblocking is formulated as block-wise expectation estimation processes conditioned on available pixels in a local neighborhood. A nonparametric kernel regression approach is used for approximating the conditional probability and thus the conditional expectation of each image block. Missing blocks are restored and blockiness are suppressed with a single pass of the algorithm. The algorithm is highly efficient in that only block-wise additions and multiplications in pixel domain within a local neighborhood are involved. Experimental results are provided to justify the effectiveness of the proposed unified error-concealment/deblocking algorithm.

Published in:

Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on

Date of Conference:

May 30 2010-June 2 2010