A two-step regularization approach for image noise removal

Author

Leung, C.M. ; Lu, W.-S.

Author_Institution

Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada

Volume

2

fYear

1994

fDate

3-5 Aug 1994

Firstpage

856

Abstract

A two-step regularization algorithm is proposed for image noise removal. In the first step of the algorithm a smoothing filter such as a lowpass or Wiener filter is applied to reduce the noise level in the image and a new image model is formulated where the smoothing filter is treated as a degradation operator. In the second step of the algorithm a generalized regularization filter is applied to deblur the image. Motivated by this idea, a two-step regularization algorithm for image restoration is also proposed. Experimental results are included to demonstrate the superiority of the proposed methods over the conventional approaches

Keywords

Wiener filters; filtering theory; image restoration; low-pass filters; noise; smoothing methods; Wiener filter; degradation operator; image deblurring; image noise removal; image restoration; lowpass filter; regularization filter; smoothing filter; two-step algorithm; Additive noise; Degradation; Finite impulse response filter; Frequency; Image restoration; Low-frequency noise; Noise level; Noise reduction; Smoothing methods; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on

Conference_Location

Lafayette, LA

Print_ISBN

0-7803-2428-5

Type

conf

DOI

10.1109/MWSCAS.1994.518948

Filename

518948