DocumentCode :
2630862
Title :
The algorithm of fast mean filtering
Author :
Pan, Jian-jia ; Tang, Yuan-yan ; Pan, Bao-chang
Author_Institution :
Hong Kong Baptist Univ., Kowloon
Volume :
1
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
244
Lastpage :
248
Abstract :
Mean filtering is a normal filtering method. It simply smoothes local variations in an image, and noise is reduced as a result of blurring. But it takes many times to compute the neighborhood pixels. An algorithm of fast mean filtering (FMF) is presented in this paper. The processing speed of the FMF is much faster than the traditional mean filtering, and the filtering result is the same as the traditional mean filtering.
Keywords :
filtering theory; image resolution; blurring result; fast mean filtering; neighborhood pixels; normal filtering method; smoothes local variations; Arithmetic; Convolution; Filtering algorithms; Information analysis; Information filtering; Information filters; Noise level; Noise reduction; Pixel; Wavelet analysis; Fast Mean Filtering; computation time; mean filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4420672
Filename :
4420672
Link To Document :
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