Title
Impulse Noise Filter With Adaptive Mad-Based Threshold
Abstract
A new method for impulse noise removal is presented, where a robust estimator of the variance, MAD (median of the absolute deviations from the median), is used for impulse detection. By using this method, image details are well preserved, while impulse noise is suppressed. The algorithm is straightforward, low in complexity, achieves high filtering performance and requires no previous training.
Year
DOI
Venue
2005
10.1109/ICIP.2005.1530397
2005 International Conference on Image Processing (ICIP), Vols 1-5
Keywords
Field
DocType
image processing,robust estimator,impulse noise,adaptive filters
Computer vision,Median filter,Digital filter,Linear filter,Impulse invariance,Control theory,Computer science,Salt-and-pepper noise,Artificial intelligence,Impulse noise,Finite impulse response,Gaussian noise
Conference
ISSN
Citations 
PageRank 
1522-4880
4
0.50
References 
Authors
5
1
Name
Order
Citations
PageRank
Vladimir S. Crnojevic118617.82