Fuzzy Logic Based Contrast Image Enhancement Technique
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 12
Abstract
Image Enhancement is one of the most important and difficult techniques in image research. Many images like satellite images, medical images, aerial images and even real life photographs may suffer from poor contrast and noise due to the inadequate lighting during image acquiring, wrong setting of aperture size and shutter speed as well as nonlinear image intensities mapping. so it is necessary to enhance the contrast and remove the noise to increase image quality. This paper presents a enhancement technique for low contrast grayscale image. The paper first, transforms the gray scale image from spatial domain to fuzzy domain, then maximizes the fuzzy measures contained in the image by using the membership function that is modified to enhance the image by using power-law transformation. And finally, defuzzification is applied that transforms the gray scale image from modified fuzzy domain back to spatial domain. The qualitative and quantitative performances of the proposed method are compared with the other methods. The proposed method produced better quality enhanced image and required minimum processing time than the other methods.
Authors and Affiliations
Jateen Kumar Singh, Gaurav Shrivastava
Keywords
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