Ant Colony Optimization Based Mixed Clahe for Underwater Haze Removal

Visibility restoration refers to various ways that aim to reduce and remove the degradation that have occurred while the digital image has been obtained. The degradation may be due to various factors like relative object-camera motion, blur due to camera misfocus, relative atmospheric turbulence and others. Underwater image enhancement based algorithms become more useful for many vision applications. It is found that most of the existing researchers have neglected many issues i.e. no technique is accurate for different kind of circumstances. The existing methods have neglected the use of ant colony optimization to reduce the noise and uneven illuminate problem. The main objective of this paper is to evaluate the performance of Ant colony optimization over the available MIX-CLAHE technique.