Title :
The algorithm of fast mean filtering
Author :
Pan, Jian-jia ; Tang, Yuan-yan ; Pan, Bao-chang
Author_Institution :
Hong Kong Baptist Univ., Kowloon
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;
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
DOI :
10.1109/ICWAPR.2007.4420672