Skip to Main content Skip to Navigation
Conference papers

COMPRESSION ARTIFACTS REDUCTION USING VARIATIONAL METHODS : ALGORITHMS AND EXPERIMENTAL STUDY

Pierre Weiss 1 Laure Blanc-Féraud 1 Thomas André 2 Marc Antonini 2
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SIS - Signal, Images et Systèmes
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.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/hal-03101401
Contributor : Pierre Weiss <>
Submitted on : Thursday, January 7, 2021 - 10:06:25 AM
Last modification on : Friday, January 8, 2021 - 3:37:19 AM

File

icassp2008.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

19

Files downloads

23