期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：1
页码：11-20
DOI：10.14257/ijsip.2016.9.1.02
出版社：SERSC
摘要：Image enhancement plays an important role in vision applications. Recently much work is performed in the field of images enhancement. Many techniques have already been proposed up to now for enhancing the digital images. The overall objective of this proposed work is to evaluate the performance of existing image enhancement techniques like Histogram equalization, adaptive histogram equalization and Fuzzy image enhancement technique. It has been found that the value of contrast parameter 'K' in fuzzy method was taken statically as 128. To overcome this, to make contrast dynamic a new optimized fuzzy method have been proposed. Here different optimization techniques ACO, PSO and ABC have been used to optimize the contrast and the technique with best optimized contrast value is selected. The newest approach has the ability to boost the contrast in digital images in efficient manner by utilizing the histogram based fuzzy image enhancement algorithm with optimized Contrast value. The proposed technique is designed and implemented in MATLAB using image processing toolbox.
关键词：contrast enhancement; color image; optimization techniques; fuzzy method
