Poor observation conditions, such as haze, fog, offgas, and dust, which result in contrast degradation colour distortion issues, negatively affect remote sensing images (RSIs). In this study, the local patchwise minimal values prior (MinVP) maximal (MaxVP) are proposed for single RSI dehazing. As alternatives to classical dark channel (DCP) bright (BCP), feasibility reliability of MinVP MaxVP i...

Image dehazing is of great significance in computer vision and other fields. The performance mainly relies on the precise computation transmission map. However, existing map still does not work well sky area easily influenced by noise. Hence, dark channel prior (DCP) luminance model are used to estimate coarse this work, which can deal with problem estimation area. Then a novel weighted variati...

Haze removal has been a very challenging problem due to its ill-posedness, which is more ill-posed if the input data is only a single hazy image. In this paper, we present a new approach for removing haze from a single input image. The proposed method combines the model widely used to describe the formation of a haze image with the assumption in Retinex that an image is the product of the illum...