Title :
A hybrid filter for image enhancement
Author :
Peng, Shaomin ; Lucke, Lori
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
We present a new hybrid filter design methodology. Our hybrid filter consists of a nonlinear impulsive noise filter and a fuzzy weighted linear filter. This hybrid filter can efficiently remove large amounts of mixed Gaussian and impulsive noise while preserving the image details. The performance and robust stability of the proposed filter are compared to linear filters and nonlinear filters theoretically and experimentally
Keywords :
Gaussian noise; image enhancement; nonlinear filters; robust control; Gaussian noise removal; fuzzy weighted linear filter; hybrid filter design; image enhancement; impulsive noise removal; linear filters; nonlinear filters; nonlinear impulsive noise filter; performance; robust stability; Additive noise; Design methodology; Gaussian noise; Image enhancement; Image processing; Image restoration; Noise robustness; Nonlinear filters; Robust stability; Statistics;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529065
