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