Perceptual non local mean (P-NLM) denoising

Author

Souidene, W. ; Megrhi, S. ; Beghdadi, A. ; Ben Amar, C.

Author_Institution

L2TI, Villetaneuse, France

fYear

2012

fDate

2-4 May 2012

Firstpage

1

Lastpage

4

Abstract

In this paper we propose a denoising technique based on nonlocal means using an image similarity measure. The idea is to use the SVD-based image quality metric as a measure of neighborhood similarity. This measure is then used in the computation of the spatial Gaussian weighting kernel. We also develop an optimization computation scheme using a parallel architecture in order to accelerate the filtering process on different machines or different cores on the same machine. The obtained results are very promising.

Keywords

Gaussian processes; filtering theory; image denoising; optimisation; singular value decomposition; P-NLM denoising; SVD-based image quality metric; denoising technique; filtering process; image similarity measure; neighborhood similarity measure; nonlocal means filtering; optimization computation scheme; parallel architecture; perceptual filtering; perceptual nonlocal mean; spatial Gaussian weighting kernel; Image denoising; Image quality; Noise measurement; Noise reduction; Parallel processing; image denoising; non local means filtering; objective image similarity; perceptual filtering; perceptual model;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on

Conference_Location

Rome

Print_ISBN

978-1-4673-0274-6

Type

conf

DOI

10.1109/ISCCSP.2012.6217809

Filename

6217809