Title :
Fuzzy-similarity-based noise cancellation for real-time image processing
Author :
Tolt, Gustav ; Kalaykov, Ivan
Author_Institution :
Center for Appl. Autonomous Sensor Syst., Orebro Univ., Sweden
fDate :
6/23/1905 12:00:00 AM
Abstract :
We introduce a new algorithm for image noise cancellation based on fuzzy similarity and homogeneity. The proposed method allows simple tuning of fuzzy filter properties and it is very convenient for high-speed real-time image processing. A detailed analysis of the filter properties is presented to support tuning its parameters for a particular application. Test examples and comparisons with other image noise cancellation techniques show the advantages of the method
Keywords :
filtering theory; fuzzy set theory; image processing; noise; real-time systems; fuzzy filter property tuning; fuzzy-similarity-based noise cancellation; high-speed real-time image processing; homogeneity; image noise cancellation; real-time image processing; Filtering; Fuzzy systems; Image processing; Low pass filters; Noise cancellation; Pixel; Real time systems; Sensor systems; Testing;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007233
