Titelaufnahme

Titel
A total variationbased JPEG decompression model
VerfasserBredies, Kristian ; Holler, Martin
Erschienen in
SIAM journal on imaging sciences / Society for Industrial and Applied Mathematics, Philadelphia, Pa. : SIAM, 1.2008 -, Jg. 5, H. 1, S. 366-393
ErschienenSIAM
SpracheEnglisch
DokumenttypAufsatz in einer Zeitschrift
Schlagwörter (EN)Total variation / artifact-free JPEG decompression / image reconstruction / optimality System / primal-dual gap
ISSN1936-4954
URNurn:nbn:at:at-ubg:3-292 Persistent Identifier (URN)
DOIdoi:10.1137/110833531. 
Zugriffsbeschränkung
 Das Werk ist frei verfügbar
Dateien
A total variationbased JPEG decompression model [2.82 mb]
Links
Nachweis
Klassifikation
Zusammenfassung (Englisch)

We propose a variational model for artifact-free JPEG decompression. It is based on the minimization of the total variation over the convex set U of all possible source images associated with given JPEG data. The general case where U represents a pointwise restriction with respect to an L-orthonormal basis is considered. Analysis of the infinite dimensional model is presented, including the derivation of optimality conditions. A discretized version is solved using a primal-dual algorithm supplemented by a primal-dual gap-based stopping criterion. Experiments illustrate the effect of the model. Good reconstruction quality is obtained even for highly compressed images, while a graphics processing unit (GPU) implementation is shown to significantly reduce computation time, making the model suitable for real-time applications.

Notiz