Title :
Fuzzy weighted average filter
Author :
Jing, Cai ; Jinsheng, Yang ; Runtao, Ding
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., China
Abstract :
This paper mainly studies the problem of the noise suppression for images corrupted by noise. A weighted average filter based on fuzzy membership is presented. The algorithm optimizes the weights of the filter by the fuzzy membership functions. The filter is not only better than the average filter and median filter in the field of suppression of Gaussian noise, but also in the field of the suppression of impulse and mixture noise
Keywords :
Gaussian noise; digital filters; fuzzy set theory; image enhancement; impulse noise; interference suppression; Gaussian noise; fuzzy membership functions; fuzzy weighted average filter; images; impulse and mixture noise; mixture noise; noise suppression; Attenuation; Filters; Fuzzy sets; Gaussian noise; Image converters; Image processing; Pixel; Testing;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894545
