Diversity Conserved Chaotic Artificial Bee Colony Algorithm based Brightness Preserved Histogram Equalization and Contrast Stretching Method

Krishna Gopal Dhal and Sanjoy Das
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Krishna Gopal Dhal: University of Calcutta, Kolkata, India
Sanjoy Das: University of Kalyani, Nadia, West Bengal, India

International Journal of Natural Computing Research (IJNCR), 2015, vol. 5, issue 4, 45-73

Abstract: This study is organized into two parts. The first part introduces two image enhancement methods with the ability to preserve the original brightness of the image. These two methods are: optimal ranged brightness preserved contrast stretching (ORBPCS) method and weighted thresholded histogram equalization (WTHE) method. The efficiency of these two methods crucially depends on the method's associated parameters. To find the optimal values of the parameters Artificial Bee Colony (ABC) algorithm and a novel objective function have been employed in this study. The second part of this study mainly concentrates on the efficiency increment of ABC algorithm and to develop the proper objective functions to preserve the original brightness of the image. Some new mechanisms like population diversity measurement technique, use of chaotic sequence etc. are also introduced to enhance the efficiency of traditional ABC algorithm. The objective functions have been developed by using co-occurrence matrix and peak-signal to noise ratio (PSNR).

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jncr00:v:5:y:2015:i:4:p:45-73

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