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