Institute of Information Theory and Automation

Publication details

Efficient JPEG decompression by the alternating direction method of multipliers

Conference Paper (international conference)

Šorel Michal, Bartoš Michal


serial: Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), p. 271-276

action: 23rd International Conference on Pattern Recognition ICPR 2016, (Cancún, MX, 20161204)

project(s): GA16-13830S, GA ČR

keywords: Image coding, Image restoration, JPEG

preview: Download

abstract (eng):

Standard decompression of JPEG images produces artifacts along edges and a disturbing checkerboard pattern. To reduce these artifacts, decompression can be formulated as an image reconstruction problem within Bayesian maximum a posteriori probability framework. In this type of problem, the prior information about an image is typically given by the l1 norm of its sparse domain representation. In this paper, we show how the solution of this problem can be achieved very efficiently using the alternating direction method of multipliers if the sparsity domain forms a tight frame. The proposed algorithm restores images without disturbing JPEG artifacts in several\niterations, typically considerably less than competing algorithms. The quality of reconstruction both visually and in terms of SNR primarily depends on the tight frame used.\n

RIV: JD

Responsible for information: admin
Last modification: 21.12.2012
Institute of Information Theory and Automation