Počet záznamů: 1
Fast algorithms for Bayesian JPEG decompression
- 1.0423186 - ÚTIA 2014 CZ eng A - Abstrakt
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]
Institucionální podpora: RVO:67985556
Klíčová slova: JPEG decompression * image restoration * image processing
Kód oboru RIV: JD - Využití počítačů, robotika a její aplikace
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.
Trvalý link: http://hdl.handle.net/11104/0230916
Počet záznamů: 1