Detecting objects of interest and obtaining their clear visual appearances are critical requirements for visual surveillance systems. In this paper we propose a novel algorithm to detect foreground objects from video sequences with fog and then enhance their visibilities. First, we propose a novel metric to measure the image fog property to decide whether the image scene is obscured by fog or n...

Because of light scattered by the suspended particles in the atmosphere, photographs taken in the foggy day look gray and lack of visibility. In order to unveil the clear image’s structures and colors, we propose a image defogging algorithm of single color image based on wavelet transform and histogram equalization. Firstly, using histogram equalization to enhancement image, then to nonlinear e...

In this paper, we introduce a simple but effective method in order to remove haze in foggy images. We name it as dark pixel detection. Dark pixel is the pixel in haze-free images with values in all of the RGB colour channels close to zero. With this method, we can effectively estimate the thickness of the haze and recover a vivid haze-free scene even when the scene object is inherently similar ...

In this paper we are proposing the use of GIMP Retinex, a filter of the GNU Image Manipulation Program, for enhancing foggy images. This filter involves adjusting four different parameters to find the output image which has to be preferred according to some specific purposes. Aiming to obtain a processing, which is able of choosing automatically the best image from a given set, we are proposing...

In this report, we present an implementation of the Bayesian defogging method described in Nishino et al. [6]. In our previous work, we propose a defogging method that factors a foggy image into albedo and depth layers. By recovering these latent layers, we may remove the effects of fog on an image. Here we describe a new implementation that dispenses with a time-consuming graph-cuts optimizati...

Abstract In recent years, image defogging has become a research hotspot in the field of digital processing. Through enhancement processing, visual quality foggy images can be significantly improved, and it is also an important part subsequent To overcome limitations traditional dehazing, algorithm for with sky based on segmentation proposed. Firstly, K-means clustering feature analysis, region ...