A reliable method for dehazing image and video was proposed. The goal is to achieve good dehazed images and videos with proper security at the receiver side. The image was dehazed by dark channel prior. The system based on fast single image dehazing and here the codecs used is joint photographic expert group. Then the compressed image is extended to compressed video, by using codecs H.264. Then...

Poor weather condition such as fog, rain or haze causes problem in getting information from image. As computer vision system extracts features from the scene, it is important that reliable information could be obtained by removing haze. This paper proposes a fast fog removal method which is implementable in hardware for single image. Using pixel-based median channel of haze image, we can estima...

Remote sensing image dehazing is challenging because it is massively ill-posed and the haze is dependent on the unknown depth information. Haze removal based on dark channel prior is effective, and refining the transmission map with Gaussian filter will produce a god result. But need to improve the naturalness and sharpness and effectiveness of images and to remove fine haze . So Proposes new a...

Haze removal is important for computational photography and computer vision applications. However, most of the existing methods for dehazing are designed for daytime images, and cannot always work well in the nighttime. Different from the imaging conditions in the daytime, images captured in nighttime haze condition may suffer from non-uniform illumination due to artificial light sources, which...

Optical satellite imagery is often contaminated by the persistent presence of clouds and atmospheric haze. Without an effective method for removing this contamination, most optical remote sensing applications are less reliable. In this research, a methodology has been developed to fully automate and improve the Haze Optimized Transformation (HOT)-based haze removal. The method is referred to as...

orneal haze is the most serious complication of photorefractive keratectomy (PRK) and has been attributed to normal healing processes. 1-3 The prediction of which patients are likely to develop haze is of the utmost importance in the evaluation of patients for PRK. We noted that while removing the epithelium prior to corneal ablation, three distinct types of cornea can be appreciated: 1) normal...