Enhanced Vision of Hazy Images Using Improved Depth Estimation and Color Analysis

Images are captured during inclement weather conditions such as fog, sand, and mist, that images are called as hazy images. Those images are frequently feature degraded visibility and unwanted color cast effects. Due to these effects, original image may not be clear. In such situation Laplacian-based visibility restoration approaches usually cannot adequately restore images due to poor estimation of haze thickness and the persistence of color cast problems. In proposed system, Enhanced refined transmission technique is used to solve effectively inadequate haze thickness estimation and alleviate color cast problems. It improves the performance quality of systems such as object recognition systems, obstacle detection systems, video surveillance systems, intelligent transportation Systems. Experimental results via qualitative and quantitative evaluations demonstrate that the proposed method can dramatically improve images captured during inclement weather conditions and produce results superior to those of other state-of-the-art methods.