Paper Info
Title
An adaptive image filter based on the fuzzy transform for impulse noise reduction.
Abstract
Impulse noise, also known as impulsive noise, is one of the most common types of noise occurring in digital images. The median filter and morphological filters are often used to remove impulsive noise, but these filters do not preserve image details. In this paper, we first apply the median filter in order to reduce the amount of impulsive noise in a corrupted image. After an application of the direct fuzzy transform (FT) to the resulting image, we restored the pixel values corresponding to locations flagged by the fuzzy rule-based noise detector by means of the inverse fuzzy transform. Finally, we obtained the output of our proposed image filter by combining the restored pixels with the ones marked as noiseless by the aforementioned noise fuzzy detector. We compared the results of our approach that we called adaptive FT-based image filter (AFT-IF) with the ones obtained by a number of other image filters for impulsive noise reduction.
Year
DOI
Venue
2017
10.1007/s00500-017-2669-5
Soft Comput.
Keywords
Field
DocType
Image enhancement, Noise removal, Fuzzy impulse noise detector, Median filter, Fuzzy transform
Value noise,Median filter,Noise measurement,Computer science,Salt-and-pepper noise,Impulse noise,Artificial intelligence,Computer vision,Mathematical optimization,Algorithm,Dark-frame subtraction,Image noise,Gaussian noise
Journal
Volume
Issue
ISSN
21
13
1432-7643
Citations 
PageRank 
References 
5
0.53
32
Authors
2
Name
Order
Citations
PageRank
Tiago Schuster171.24
Peter Sussner288059.25