1 PG Scholar , Paavai Engineering College, Namakkal, 2 M .E., Associate professor ,Department of ECE, Paavai engineering college,Namakkal Received 25 November 2015; Accepted 4 December 2015 ABSTRACT: Single image haze removal has been a demanding problem due to its ill-posed nature. Images captured in hazy weather environment often suffer from poor illumination conditions that will create a lot...

This paper proposes an improved dark channel prior for removing haze from images. Dark channel prior is an effective method for removing haze. Dark channel is an image in the same size as the hazy image which is obtained by dividing the RGB images into windows and for each window, the minimum of each R, G and B channels are calculated. Then again the minimum of these three values is calculated ...

Degradation of image quality due to the presence of haze is a very common phenomenon. Existing DehazeNet [3], MSCNN [11] tackled the drawbacks of hand crafted haze relevant features. However, these methods have the problem of color distortion in gloomy (poor illumination) environment. In this paper, a cardinal (red, green and blue) color fusion network for single image haze removal is proposed....

Single image dehazing is an important low-level vision task with many applications. Early researches have investigated different kinds of visual priors to address this problem. However, they may fail when their assumptions are not valid on specific images. Recent deep networks also achieve relatively good performance in this task. But unfortunately, due to the disappreciation of rich physical r...

In underwater image capturing, color change and presence of haze are the two sources of distortion. These distortions are caused by light scattering and light attenuation occurred by light traveling in water with different wavelengths. These changes are caused by light incident on objects, reflected and deflected by different particles present in the propagation path before reaching the camera....

Due to environmental pollution, the climate is worsening. The fog days up to 60% of the year in inland certain segments, which it has seriously affected the marine electronic cruise normal operation and navigation safety. According to the inland video image becomes gray and lack of visibility in foggy weather conditions, and in order to remove the haze to get a clear image color and contour, th...

The dark channel prior (DCP) technique is an effective method to enhance hazy images. Dark channel is an image with the same size as the hazy image which represents the haze severity in different places of the image. The DCP method suffers from two problems: it is incapable for removing haze from smooth regions, causing blocking effects on these areas; it cannot properly reduce a haze with a no...

sHaze and noise performance detection (HNPD) filter is proposed for impulse noise and haze removal in images. In this approach, the noisy pixels are detected in single phase, based on a set of irreplaceable connection criteria. Simulation results show that the HNPD filter outperforms others at medium to high noise rates and suppresses impulse noise and haze effectively while preserving image de...

Rain removal from a single image is a challenge which has been studied for a long time. In this paper, a novel convolutional neural network based on wavelet and dark channel is proposed. On one hand, we think that rain streaks correspond to high frequency component of the image. Therefore, haar wavelet transform is a good choice to separate the rain streaks and background to some extent. More s...

Haze contamination is a very common issue in remote sensing images, which inevitably limits data usability and further applications. Several methods have been developed for haze removal, an ill-posed problem. However, most of these involve various strong assumptions coupled with manually-determined parameters, limit their generalization to different scenarios. Moreover, temporal information amo...