A generalized coding artifacts and noise removal algorithm for digitally compressed video signals

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Abstract

A generalized coding artifact reduction algorithm is proposed for a variety of artifacts, including blocking artifact, ringing artifact and mosquito noise. This algorithm does not require grid position detection and any coding parameters. All the filtering is based on local content analysis. Basically, the algorithm attempts to apply mild low-pass filtering on more informative regions to preserve the sharpness of the object details, and to apply strong low-pass filtering on less informative regions to remove severe artifacts. The size and parameters of the low-pass filters are changed continuously based on the entropy of a local region. © 2011 Springer-Verlag Berlin Heidelberg.

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Shao, L., Zhang, H., & Liu, Y. (2011). A generalized coding artifacts and noise removal algorithm for digitally compressed video signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6523 LNCS, pp. 1–9). https://doi.org/10.1007/978-3-642-17832-0_1

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