Comparison and Analysis of Cuckoo Search and Firefly Algorithm for Image Enhancement
Sapna Katiyar, Rachit Patel, Khushboo Arora · Communications in computer and information science · 2016
Image enhancement is the process of highlighting some characteristics and carrying out certain features in original image for any problem oriented applications. Two domains in which image enhancement can be done is either in spatial domain and frequency domain with good SNR and keeping original colors of image intact. Metaheuristic approach provides a very effective search and optimization approach which gives good results in comparison to traditional approaches. In this paper author improve number of pixels, so that more details of image can be visualized easily and accurately. Two Metaheuristic algorithms, cuckoo search and firefly algorithms are applied here to find out optimal solution which gives peak performance. Experimental results of both the algorithms are tabulated and compared, which shows that firefly algorithm gives better performance as compared to cuckoo search algorithm in terms of robustness, fitness function and convergence rate. Some hybridization of metaheuristic algorithms can also be applied to improve performance.