Fuzzy based Low Contrast Image Enhancement Technique by using Pal and King Method
Author(s) -
Ajay Kumar,
Siddharth Singh,
Manish Shrivastava
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016909648
Subject(s) - computer science , contrast (vision) , contrast enhancement , image (mathematics) , image enhancement , artificial intelligence , computer vision , fuzzy logic , computer graphics (images) , radiology , medicine , magnetic resonance imaging
of the most interesting and challenging area in image processing research is to enhance low Contrast images. Many images may suffer from poor contrast and noise due to the inadequate lighting during image acquiring. So it is required to enhance the contrast of image as well as remove the noise that decreases image quality. This paper presents a fuzzy based enhancement technique for low contrast grayscale image. Proposed works transforms the gray scale image from spatial domain to fuzzy domain, then modify the fuzzy domain by using the pal king membership function which modify image from low contrast to high contrast, And finally, transforms the gray scale image from modified fuzzy domain back to spatial domain by using defuzzification method. The performances of the proposed method are compared with the other existing methods. The proposed method gives better quality enhanced image and needs minimum processing time
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