Mist and cloudiness debase the nature of see and caught video by decreasing the differentiation and immersion. Therefore the deceivability of scene or question. The goal of the present work is to upgrade the deceivability, immersion differentiate and decrease the clamor in a foggy video. The strategy is proposed which utilize single edge for improving foggy recordings in multi level transmissio...

Based on dark channel priority, the paper proposes an improved defogging algorithm of single image which can defog the foggy images rapidly. The algorithm in the paper applies the method combining adaptive median filter and bilateral filter to figure out clear dark channel on the edge. And the algorithm is based on the physical model of foggy images to estimate transmission. Compared with the t...

Bad weather conditions such as fog, haze, and dust often reduce the performance of outdoor cameras. To improve the effectiveness of surveillance and in-vehicle cameras under such conditions, we propose a method based on a dark channel prior for quickly defogging images. It first estimates the intensity of the atmospheric light by searching the sky area in the foggy image. Then it estimates the ...

Clear eye lens is responsible for correct vision. Ageing effect acquires opacity at structure causing foggy or blurred It termed as cataract. This may become cause of permanent blindness if remain unidentified and untreated. Due to hazards change in environment adoption sluggish lifestyle many diseases like cataract are becoming universal challenge health organization over the world. Lack medic...

In order to improve the image quality in fog, this paper presents a fog-image enhancement algorithm based on adaptive guided image filter Retinex theory. Firstly convert the image from the RGB color space to the HSV color space, Then, the luminance image is estimated by adaptive guided image filter, the saturation image is linearly stretched. Finally, the image is transformed back from HSV colo...