A robust approach to imageenhancement based on fuzzy logic
Young Sik Choi
Krishnapuram, R.
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA;
This paper appears in: Image Processing, IEEE Transactions on Publication Date: June 1997
Volume: 6
,
Issue: 6
On page(s):
808
- 825
ISSN: 1057-7149
Digital Object Identifier: 10.1109/83.585232
Current Version Published: 2002-08-06
Abstract
In this paper, we propose a robust approach to imageenhancement based on fuzzy logic that addresses the seemingly conflicting goals of imageenhancement: (i) removing impulse noise, (ii) smoothing out nonimpulse noise, and (iii) enhancing (or preserving) edges and certain other salient structures. We derive three different filters for each of the above three tasks using the weighted (or fuzzy) least squares (LS) method, and define the criteria for selecting each of the three filters. The criteria are based on the local context, and they constitute the antecedent clauses of the fuzzy rules. The overall result of the fuzzy rule-based system is the combination of the results of the individual filters, where each result contributes to the degree that the corresponding antecedent clause is satisfied. This approach gives us a powerful and flexible imageenhancement paradigm. Results of the proposed method on several types of images are compared with those of other standard techniques
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
You are not
logged in.
Guests
may access Abstract records free of charge.
Cart
