Title :
A Technique for Image Denoising Based on Adaptive Piecewise Linear Filters and Automatic Parameter Tuning
Author_Institution :
D.E.E.L, Trieste Univ.
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604317
