In this letter, we propose a novel and effective haze removal method by using the structure-aware atmospheric veil. More specifically, the initial atmospheric veil is first estimated based on dark channel prior and morphological operator. Furthermore, an energy optimization function considering the structure feature of the input image is constructed to refine the initial atmospheric veil. At la...

2 The cover image shows a true color subset of a Landsat-7 ETM+ scene with lake Constance at the Austrian-German-Swiss border (top left), acquired 2 June 2000. The top right image is the atmospherically corrected scene employing a haze removal over land and water. The haze removal over water is one of the new features of the 2011 release. The bottom part presents a zoomed view. The water mask i...

Aiming at the degeneration phenomenon of images taken in mist, according to the features of the degraded images, an improved haze removal algorithm based on genetic fuzzy clustering is presented in this paper after analyzing its defects and shortcomings. Firstly, the improved atmospheric scattering model is established. Secondly, the original image is converted into a standard image through the...

The reliable method for dehazing in video was proposed by using haze removal algorithm. The simple but effective prior is change of detail prior (CoD) algorithm to remove haze from video. By using Change of detail prior algorithm we can estimate the thickness of Haze from every frame and also effectively recover a high quality video. In this approach first extract the background image by using ...

Ever-present spatial varying haze contamination in satellite scenes limits applications using visible and near infrared bands of low temporal resolution multispectral satellite imageries. A relative atmospheric correction technique: virtual cloud point (VCP) based on advanced haze optimized transformation (AHOT) is developed for haze removal. It is an improved algorithm of the previous dark obj...

The mammalian retina seems far smarter than scientists have believed so far. Inspired by the visual processing mechanisms in the retina, from the layer of photoreceptors to the layer of retinal ganglion cells (RGCs), we propose a computational model for haze removal from a single input image, which is an important issue in the field of image enhancement. In particular, the bipolar cells serve t...

The goal of Haze Removal algorithms is to recover and enhanced the scene from foggy image. Many applications need accurate Haze Removal algorithms. The de-fog feature works through a complex algorithm which based on the fog destiny of the scene, then analyses the atmospheric light and sharpness adjustments to produce image enhancement. In contrast with existing technology the proposed method fo...

This paper presents a review on edge-preserving decomposition based image haze removal. When the background has dust particles or hazes its image quality and color is degraded. It is well-known that local filtering-based edge preserving smoothing method suffers from halo artifacts. In this paper a survey of many different methods for haze removal just like Laplacian-based visibility restoration...

Recent single image de-haze approaches assume the atmospheric light is the only illumination in one haze image and use a globally constant to image de-haze. However, every local pixels in an outdoor image is actually under the influence of non-uniform illumination in real world. The accuracy of the environmental illumination estimation has a great influence on the result, so the traditional haz...