Abstract:

When an acquired image has flaws such as poor visual appearance to the eyes, noise, or low quality. To increase the visual appearance, image enhancement should be used. The primary goal of image enhancement is to suppress blemishes in an image while retaining useful information. Many researchers suggested different kinds of enhancement processes that produced positive results. In this algorithm, we developed a novel hybrid algorithm called Optimized Gamma Correction with Weighted Distribution (OGCWD), which combines the Differential Evolution algorithm and Adaptive Gamma Correction with Weighted Distribution. The proposed method is an automated transformation process that aims in improving the brightness of a lowered image. The proposed OGCWD algorithm out performs state-of-the-art image enhancement techniques in terms of structural Similarity Index (SSIM), Mean Square Error (MSE), and Peak Signal to Noise Ratio (PSNR).

Description:

Image Enhancement, Adaptive gamma correction weighted distribution (AGCWD), Differential Evolution (DE).