Multioriented video scene based image dehazing using artificial bee colony optimization

Multi-oriented dehazing in video frames is not as easy as degraded of captions or graphics or air light, which usually appears in any location or any images and has high contrast, compared to its background. Images frames are frequently despoiled by full of atmosphere haze, a phenomenon due to the particles in the air that disperse light. Haze induces a loss of contrast, its visual effect is blurring of distant objects. We present a novel approach for humanizing the visibility of an image degraded by haze. The proposed method uses a cost function based on human visual model to estimate air light map. It employs Artificial Bee Colony optimization (ABC) as the optimization technique for estimating air light map. Image is dehazed by removing the estimated air light from the degraded image. Contrast enhancement, and computational times.