A self-adjusting weighted median filter for removing impulse noise in images
Resource
Image Processing, 1996. Proceedings., International Conference on
Journal
International Conference on Image Processing, 1996
Pages
-
Date Issued
1996-09
Date
1996-09
Author(s)
Chen, Chun-Te
DOI
N/A
Abstract
An intelligent self-adjusting weighted median filter for removing impulsive noise in images is presented. Three main techniques are developed to implement this self-adjusting weighted median filter: an intelligent classification to divide the image data into the "corrupted" pixels and the "uncorrupted" pixels, an efficient algorithm to find the median output of any weight set, and a realistic training procedure without the noise free image to obtain the proper weights. Our simulations on some test images demonstrate that the proposed filter has less smoothing effect and smaller mean square error (MSE) or mean absolute error (MAE) measurement than the standard median filter. At the same time, the quality of the filter output has been enhanced significantly. Finally, a demonstration chip of this weighted median filter for the 5/spl times/5 window size is also presented.
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
00559522.pdf
Size
416.29 KB
Format
Adobe PDF
Checksum
(MD5):2903b37b30ad7ab179ce6f639cbba810