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Fast algorithms for Bayesian JPEG decompression
- 1.0423186 - ÚTIA 2014 CZ eng A - Abstract
Šorel, Michal
Fast algorithms for Bayesian JPEG decompression.
Proceedings of the 3rd SPLab Workshop 2013. Brno: Signal Processing Laboratory, 2013.
[3rd SPLab Workshop 2013. 2013, Brno]
Institutional support: RVO:67985556
Keywords : JPEG decompression * image restoration * image processing
Subject RIV: JD - Computer Applications, Robotics
JPEG decompression can be formulated as a probabilistic problem and solved in the standard way using the Bayesian approach. The choice of image prior probability distribution influences complexity of the corresponding minimization problem. In this talk we show how a convenient form of this prior allows for efficient solution by a primal-dual method.
Permanent Link: http://hdl.handle.net/11104/0230916
Number of the records: 1