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...

In this paper, we propose a simple but powerful prior, color attenuation prior, for haze removal from a single input hazy image. By creating a linear model for modelling the scene depth of the hazy image under this novel prior and learning the parameters of the model by using a supervised learning method, the depth information can be well recovered. With the depth map of the hazy image, we can ...

Images captured in foggy weather conditions often suffer from poor visibility, which will create a lot of impacts on the outdoor computer vision systems, such as video surveillance, intelligent transportation assistance system, remote sensing space cameras and so on. In this paper, we propose a new transmission estimated method to improve the visibility of single input image (with fog or haze),...

This review paper presents a study about various image dehazing methods to remove the haze in the captured hazy images to recover a better and improved quality of haze free images. One of the critical problems in the field of image processing is the restoration of the images those are corrupted due to various degradations. Images of natural outdoor scenes is degraded due to bad weather conditio...

 Abstract—Near-infrared imaging can capture haze-free near-infrared gray images and visible color images, according to physical scattering models, e.g., Rayleigh or Mie models. However, there exist serious discrepancies in brightness and image structures between the near-infrared gray images and the visible color images. The direct use of the near-infrared gray images brings about another colo...

In this article, we suggest a different method for addressing the issue of nighttime single image dehazing. Because landscape frequently includes several light sources, ambient lighting haze period is usually not globally isotropic. Existing dehazing algorithms have tried to treat these two zones using same prior assumptions. We propose novel blending approach resolving them in work. A channel ...

. Abstract In this paper, I propose a No black pixel constraints algorithm. This algorithm to remove the haze and light scattering from underwater images. Light scattering is caused by light incident of object reflected and deflected multiple times by particles present in water before reaching the camera. This the reason for turn lower visibility and color deviation of the image captured by cam...