Interactive image enhancement by fuzzy relaxation |
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| Authors: | Shang-Ming Zhou John Q. Gan Li-Da Xu Robert John |
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| Affiliation: | (1) School of Computing, De Montfort University, Leicester, LE1 9BH, UK;(2) Department of Computer Science, University of Essex, Colchester, CO3 4SQ, UK;(3) Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA 23529-0218, USA |
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| Abstract: | In this paper,an interactive image enhancement(IIE)technique based on fuzzy relaxation is presented,which allows the user to select different intensity levels for enhancement and intermit the enhancement process according to his/her preference in applications.First,based on an analysis of the convergence of a fuzzy relaxation algorithm for image contrast enhancement,an improved version of this algorithm,which is called FuzzIIE Method 1,is suggested by deriving a relationship between the convergence regions and the parameters in the transformations defined in the algorithm.Then a method called FuzzIIE Method 2 is introduced by using a different fuzzy relaxation function,in which there is no need to re-select the parameter values for interactive image enhancement. Experimental results are presented demonstrating the enhancement capabilities of the proposed methods under different conditions. |
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| Keywords: | Interactive image enhancement fuzzy relaxation fuzzy set crossover point convergence |
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