An effective filter for the restoration of highly impulse corrupted digital images

Author

Varghese, Justin ; Saudia, S. ; Allwin, S. ; Indrakumari, R. ; Lotus, R. ; Josephine, J.

Author_Institution

Dept of Comput. Sci. & Eng., Infant Jesus Coll. of Eng., Thoothukudi, India

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1480

Lastpage

1485

Abstract

A new impulse noise removal algorithm which exhibits improved performance in noise removal by addressing the limitations of the algorithms proposed by K.S.Srinivasan et. al. and Madhu.et. al. is proposed. The signal restoration scheme of the proposed filter adapts to the varied impulse noise ratios while determining an appropriate signal restorer from a reliable neighborhood. The experimental results of the proposed filter applied on various images corrupted with almost all ratios of impulse noise favor the filter in terms of objectivity and subjectivity than many of the other prominent state of art impulse filtering operators.

Keywords

adaptive filters; filtering theory; image denoising; image restoration; adaptive filter; highly impulse corrupted digital images; image restoration; impulse filtering operator; impulse noise ratio; impulse noise removal; signal restoration; Adaptive filters; Digital filters; Digital images; Filtering; Image restoration; Maximum likelihood detection; Nonlinear filters; Pixel; Signal restoration; Signal to noise ratio; adaptive filter; image restoration; impulse noise; median filter; non linear filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393693

Filename

5393693