DocumentCode :
249284
Title :
A non-parametric approach for the estimation of intensity-frequency dependent noise
Author :
Colom, M. ; Lebrun, M. ; Buades, A. ; Morel, J.M.
Author_Institution :
DMI, Univ. de les Illes Balears, Palma de Mallorca, Spain
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
4261
Lastpage :
4265
Abstract :
We present a non-parametric method estimating an intensity and frequency dependent noise from a single image. The noise model is estimated on image patches and can be used consequently in all patch-based denoising methods. The method applies to cases where no access is granted to the image noise model, in particular to scanned photographs and JPEG images. The general noise model and the method to evaluate it are validated by comparing the estimations with the corresponding ground-truth curves for raw and JPEG images. Denoising experiments on scanned photographs also support the efficiency of the estimation method.
Keywords :
image denoising; JPEG images; general noise model; ground-truth curves; image noise model; image patches; intensity-frequency dependent noise estimation; nonparametric approach; patch-based denoising methods; scanned photographs; Discrete cosine transforms; Estimation; Frequency estimation; Noise; Noise reduction; Transform coding; Blind noise estimation; frequency-dependent noise; non-parametric noise model; signal-dependent noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025865
Filename :
7025865
Link To Document :
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