Title :
Aperture Filters Implementation For Noise Removal
Author :
Chlapinski, Jakub ; Marshall, S.
Author_Institution :
Lodz Tech. Univ.
Abstract :
This paper describes implementation for noise removal based on aperture operators. Aperture operators are a subclass of window operators used in automatic filter design. In this implementation, a typical improvement of 30-50% was observed with respect to MSE as compared to well-known median and adaptive Wiener filtering methods
Keywords :
filtering theory; filters; image denoising; image restoration; aperture filters; aperture operators; automatic filter design; image processing; noise removal; window operators; Apertures; Filtering; Gray-scale; Humans; Image processing; Machine learning; Shape; Signal design; Signal resolution; Wiener filter;
Conference_Titel :
Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006. Proceedings of the International Conference
Conference_Location :
Gdynia
Print_ISBN :
83-922632-2-7
DOI :
10.1109/MIXDES.2006.1706661
