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COMPRESSION ARTIFACTS REDUCTION USING VARIATIONAL METHODS : ALGORITHMS AND EXPERIMENTAL STUDY
Abstract : Many compression algorithms consist of quantizing the coefficients of an image in a linear basis. This introduces compression noise that often look like ringing. Recently some authors proposed variational methods to reduce those artifacts. They consists of minimizing a regularizing functional in the set of antecedents of the compressed image. In this paper we propose a fast algorithm to solve that problem. Our experiments lead us to the conclusion that these algorithms effectively reduce oscillations but also reduce contrasts locally. To handle that problem, we propose a fast contrast enhancement procedure. Experiments on a large dataset suggest that this procedure effectively improves the image quality at low bitrates.
https://hal.inria.fr/hal-03101401
Contributor : Pierre Weiss Connect in order to contact the contributor
Submitted on : Thursday, January 7, 2021 - 10:06:25 AM
Last modification on : Thursday, January 6, 2022 - 5:08:02 PM
Long-term archiving on: : Thursday, April 8, 2021 - 6:32:30 PM
Contributor : Pierre Weiss Connect in order to contact the contributor
Submitted on : Thursday, January 7, 2021 - 10:06:25 AM
Last modification on : Thursday, January 6, 2022 - 5:08:02 PM
Long-term archiving on: : Thursday, April 8, 2021 - 6:32:30 PM
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icassp2008.pdf
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