Nonlinear filtering using generalized subband decomposition

Author

Anandakumar, K. ; Kassam, Saleem A.

Author_Institution

Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA

Volume

1

fYear

1995

fDate

23-26 Oct 1995

Firstpage

382

Abstract

This paper addresses a nonlinear restoration technique based on generalized multiresolution decomposition. The input signal corrupted by impulsive and nonimpulsive noise is decomposed into multiresolution bands using order statistic (OS) filters. Then nonlinear filtering is performed on these bands using denoising techniques. Simulations show that this scheme has better edge and sharp feature preservation, and better noise reduction properties compared to other OS filter based techniques

Keywords

edge detection; filtering theory; image resolution; image restoration; interference suppression; nonlinear filters; smoothing methods; denoising techniques; edge preservation; generalized multiresolution decomposition; generalized subband decomposition; image processing; impulsive noise; noise reduction properties; nonimpulsive noise; nonlinear filtering; nonlinear restoration technique; order statistic filters; sharp feature preservation; Additive noise; Filtering; Gaussian noise; Noise reduction; Nonlinear filters; Signal processing; Signal resolution; Signal restoration; Smoothing methods; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.529726

Filename

529726