An Adaptive C-Average Fuzzy Control Filter for Image Enhancement
Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
Piecewise linear model-based image enhancement
EURASIP Journal on Applied Signal Processing
Spatially adaptive image restoration using fuzzy punctual kriging
Journal of Computer Science and Technology
A novel method of image filtering based on iterative fuzzy control
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
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An image enhancement technique is presented which adopts a fuzzy logic approach and is based on the FIRE operator. FIRE (fuzzy inference ruled by else-action) operators are a recently introduced family of nonlinear operators which process image data by resorting to fuzzy rules. The proposed operator suitably combines sharpening and smoothing rules as well, it is able to enhance the quality of an image by using a very small rulebase. Key aspects of the proposed approach are its relative simplicity and a particular fuzzy inference mechanism which permit an easy design with very satisfactory performances.