Technique for image denoising based on adaptive piecewise linear filters and automatic parameter tuning

Author

Russo, Fabrizio

Author_Institution

Dipt. di Elettrotecnica Elettronica Informatica, Univ. of Trieste

Volume

55

Issue

4

fYear

2006

Firstpage

1362

Lastpage

1367

Abstract

A novel technique for image denoising is presented. The proposed approach adopts multipass processing based on a simple piecewise linear filter whose behavior is locally adapted by means of an edge detection algorithm. A method for an automatic parameter tuning when the noise variance is unknown is also presented. Computer simulations and experiments with pictures acquired by digital cameras show that the proposed approach yields very satisfactory results for images corrupted by Gaussian noise

Keywords

Gaussian noise; adaptive filters; edge detection; image denoising; image restoration; piecewise linear techniques; Gaussian noise; adaptive piecewise linear filters; automatic parameter tuning; digital cameras; edge analysis; image denoising; image processing; image restoration; multipass processing; noise variance; nonlinear filters; Adaptive filters; Filtering; Gaussian noise; Image denoising; Image edge detection; Noise cancellation; Noise shaping; Nonlinear filters; Piecewise linear techniques; Smoothing methods; Edge analysis; Gaussian noise; image processing; image restoration; nonlinear filters;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2006.876404

Filename

1658392