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IEEECIT
2010
IEEE

A Rotate-based Best Neighborhood Matching Algorithm for High Definition Image Error Concealment

8 years 4 months ago
A Rotate-based Best Neighborhood Matching Algorithm for High Definition Image Error Concealment
—Error concealment restores the visual integrity of image content that has been damaged due to a bad network transmission. Best neighborhood matching (BNM) is an effective image recovery method that exploits the information redundancy in a block-coded broken image to find similar content which it then uses to repair or conceal errors. On a high-definition image BNM requires a relatively long time and so is not suitable for real-time or high volume use. In this paper, a rotate-based BNM algorithm is proposed and implemented which searches the best matching block from the broken block to the outside in a rotating style and dynamically detects and cuts the search range for a damaged block. Experiment results show that our approach can speed up BNM more than twenty times without any obvious loss of accuracy. Keywords-image restoration; block codes;error correction
Liqiang He, Yanyan Zhang
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2010
Where IEEECIT
Authors Liqiang He, Yanyan Zhang
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