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Image error-concealment via Block-based Bilateral Filtering

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5 Author(s)
Guangtao Zhai ; Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai ; Jianfei Cai ; Weisi Lin ; Xiaokang Yang
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We propose to use Block-based Bilateral Filter (BBF), which extends the classical Bilateral Filter (BF) through operating in block-wise manner, to conceal missing image blocks in the application of compressed image transmission over wireless channels. We show that the problem of error-concealment using BBF can be considered as a superset of image denoising using BF. The BBF has the ability to capture the block-level similarity that well matches the need of error-concealment for block based image compression. Simulation results suggest significant visual and PSNR improvements (up to 11 dB) over various classic and state-of-the-art error-concealment algorithms.

Published in:

Multimedia and Expo, 2008 IEEE International Conference on

Date of Conference:

June 23 2008-April 26 2008

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