Preventing Over-Enhancement Using Modified ICSO Algorithm

This paper proposes an Image Contrast Enhancement (ICE) method based on using Improved Chicken Swarm Optimization (ICSO) algorithm to enhance images while at the same time preventing over-enhancement. In optimization process, a new practical objective function is employed reach three main goals, preserving details, generating image with uniform histogram, and reducing spikes in modified histogram. proposed approach, RGB color channels are optimized individually. The performance of suitable for enhancing contrast low- high-contrast images. A subjective experiment designed visually evaluate compare results other ICE methods. simulation CSIQ, TID2013, SEID datasets show that outperforms numerous traditional state-of-the-art techniques both subjectively objectively. most important advantage newly technique there agreement among observers when over-enhancement occurs regardless whether Initial processed was low or high contrast.