Title :
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
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;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393693
