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COMPRESSION ARTIFACTS REDUCTION USING VARIATIONAL METHODS : ALGORITHMS AND EXPERIMENTAL STUDY

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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.
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Dates and versions

hal-03101401 , version 1 (07-01-2021)

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Cite

Pierre Weiss, Laure Blanc-Féraud, Thomas André, Marc Antonini. COMPRESSION ARTIFACTS REDUCTION USING VARIATIONAL METHODS : ALGORITHMS AND EXPERIMENTAL STUDY. ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2008, Las Vegas, France. pp.1173-1176, ⟨10.1109/ICASSP.2008.4517824⟩. ⟨hal-03101401⟩
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