Microscopic Image Contrast and Brightness Enhancement Using Multi-scale Retinex and Cuckoo Search Algorithm

Image enhancement is widely used technique to analyze various types of digital photography (e.g. biomedical, microscopic, re- mote sensing, and etc.) in domain of digital imaging processing. This paper proposes a new contrast and brightness enhancement technique based on Cuckoo Search (CS) and Multi-scale Retinex (MSR) algorithm for quality improvement of the microscopic images. Practically, the MSR generally delivers the similar parametric value to the Gaussian filters with different scales. Conse- quently, it not suitable for the superior enhancement in different circumstances. To handle this problem, we utilize CS to select fittest parametric values to optimize the performance of MSR. The optimization of parameter selection is significantly balances the imperfections of the scale parameters in Gaussian filters. The experimental results show the excellence of the proposed method in enhancement in terms of PSNR, MSE, Mean and Standard Deviation compared with performance of conventional MSR and other state-of-art techniques.