Procedia Computer Science · 2015 · 28 citations · 12 references
ArtsComputer ScienceComputer VisionDigital ImagingRemote SensingContrast Enhancement StrategiesDigital Image ProcessingImage AnalysisImage EnhancementImage ProcessingImage QualityColor Image ProcessingContrast EnhancementContrast Enhancement AlgorithmsDigital Image EnhancementUnderwater Image Enhancement
In computer vision applications, image enhancement plays an important role. It has been analyzed that the majority of the existing enhancement techniques are in relation to the transform domain methods, which can introduce the color artifacts and also may reduce steadily the intensity of the input image. To overcome this dilemma, a fuzzy based algorithm has been used. This approach could have the ability to boost the contrast in digital images in an efficient manner by utilizing the histogram based fuzzy image enhancement algorithm. The overall objective of this paper is to evaluate the effectiveness of histogram and fuzzy based image en-hancement for various kinds of images like underwater, remote sensing, medical etc. The fuzzy and histogram based enhancement has been designed and implemented in MATLAB using image processing toolbox. The result has shown the effectiveness of the fuzzy based enhancement over the existing techniques
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Weighted fuzzy mean filters for image processing
Chang-Shing Lee, Yau-Hwang Kuo, Pao-Ta Yu · Fuzzy Sets and Systems · 1997 · 169 citations