Title :
Smoothing images by a probability filter
Author :
Pan, Min-Cheng ; Lettington, Alan H.
Author_Institution :
J.J. Thomson Phys. Lab., Reading Univ., UK
Abstract :
Image smoothing is a useful and necessary part of image processing. Both the median and mean filters are popular smoothing methods, but there can be problems when these two filters are applied to an image corrupted by unknown noise. We present a spatial domain probability filter which achieves the advantages of median and mean filters. The aim of our probability filter is to provide a compromise between the two more conventional filters. We present experimental results and performance evaluation of the median, mean filters and this probability filter operating on an image corrupted by impulse-like or random noise
Keywords :
image processing; noise; probability; smoothing methods; image processing; image smoothing; impulse-like noise; mean filter; median filter; probability filter; random noise; spatial domain probability filter; unknown noise; Degradation; Image edge detection; Image restoration; Impulse testing; Information filtering; Information filters; Noise figure; Noise reduction; Pixel; Smoothing methods;
Conference_Titel :
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-8548-4
DOI :
10.1109/IJSIS.1998.685472
