Performance Enhancement of Adaptive Image Contrast Approach by using Artificial Bee Colony Algorithm

Image Contrast enhancement emphasizes the information present in low dynamic range of grey scale image. Good quality image facilitates increased extraction of information from them. The objective of this paper is to find the optimal values of parameters using Artificial Bee colony algorithm, which when applied on the transformation function enhances the grey scale image. We propose a new fitness function for evaluating contrast of image, that will guide the Artificial Bee colony algorithm into picking the optimal values. The performance of the proposed method is quantitatively computed using peak signal to noise ratio (PSNR), SSIM(Structural Similarity Index), SNR(Signal to Noise Ratio), MSE(Mean Squared Error) with existing methods.