A Technique for Image Denoising Based on Adaptive Piecewise Linear Filters and Automatic Parameter Tuning

Author

Russo, Fabrizio

Author_Institution

D.E.E.L, Trieste Univ.

Volume

2

fYear

2005

fDate

16-19 May 2005

Firstpage

1119

Lastpage

1123

Abstract

A novel technique for image denoising is presented. The proposed approach adopts multi-pass processing based on a two-parameter piecewise linear filter that aims at removing the noise without blurring the image structure. The accuracy of the filtering action is improved by an adaptive algorithm that avoids smoothing in presence of image details. A method for automatic parameter tuning based on image quality is also presented. Computer simulations show that the proposed approach yields very satisfactory results for images corrupted by Gaussian noise

Keywords

Gaussian noise; adaptive filters; image denoising; image enhancement; nonlinear filters; piecewise linear techniques; Gaussian noise; adaptive algorithm; adaptive piecewise linear filters; automatic parameter tuning; image denoising; image details; image enhancement; image processing; image quality; multipass processing; nonlinear filters; Adaptive algorithm; Adaptive filters; Computer simulation; Filtering; Gaussian noise; Image denoising; Image quality; Nonlinear filters; Piecewise linear techniques; Smoothing methods; Gaussian noise; image enhancement; image processing; nonlinear filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604317

Filename

1604317