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Interactive Image Enhancement by Fuzzy Relaxation 被引量:3
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作者 Shang-Ming Zhou John Q.Can +1 位作者 Li-Da Xu Robert John 《International Journal of Automation and computing》 EI 2007年第3期229-235,共7页
In this paper, an interactive image enhancement (HE) technique based on fuzzy relaxation is presented, which allows the user to select different intensity levels for enhancement and intermit the enhancement process ... In this paper, an interactive image enhancement (HE) 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. 展开更多
关键词 Interactive image enhancement fuzzy relaxation fuzzy set crossover point convergence.
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