A new article is available in IPOL: http://www.ipol.im/pub/art/2015/125/
Marc Lebrun, Miguel Colom, and Jean-Michel Morel,
The Noise Clinic: a Blind Image Denoising Algorithm,
Image Processing On Line, (2015), pp. 1–54.
http://dx.doi.org/10.5201/ipol.2015.125
Abstract
This paper describes the complete implementation of a blind image
algorithm, that takes any digital image as input. In a first step the
algorithm estimates a Signal and Frequency Dependent (SFD) noise model.
In a second step, the image is denoised by a multiscale adaptation of
the Non-local Bayes denoising method. We focus here on a careful
analysis of the denoising step and present a detailed discussion of the
influence of its parameters. Extensive commented tests of the blind
denoising algorithm are presented, on real JPEG images and scans of old
photographs.
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IPOL - Image Processing On Line - http://ipol.im/
contact [email protected] - http://www.ipol.im/meta/contact/
news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
announces [email protected] - http://tools.ipol.im/mm/announce/
discussions [email protected] - http://tools.ipol.im/mm/discuss/
