Image dehazing refers to procedures that attempt to remove the haze amount in a hazy image and grant the degraded image an overall sharpened appearance to obtain a clearer visibility and smooth image. In this paper, we studied various fast dehazing techniques like Tan’s dehazing method, Fattal’s dehazing method and Kaiming He et al, dehazing method. Among these methods the Dark Channel Prior (D...

The single image dehazing algorithms in existence can only satisfy the demand for dehazing efficiency, not for denoising. In order to solve the problem, a Bayesian framework for single image dehazing considering noise is proposed. Firstly, the Bayesian framework is transformed to meet the dehazing algorithm. Then, the probability density function of the improved atmospheric scattering model is ...

Existing dehazing methods based on the atmospheric scattering model improve image contrast and color fidelity at the cost of image brightness. We propose the use of transmission to combine the dehazing and retinex methods for visibility enhancement. The proposed method achieves both color fidelity and brightness without over saturation. Keywords—dehazing;retinex;image enhancement;

Image dehazing is one of the most important research area in image processing and pattern analysis. Haze is naturally an atmospheric effect. And it is the combination of air light and attenuation process. Air light increases the whiteness of the image and attenuation effect reduces the contrast. Haze removal algorithms are important in many vision applications. This paper reviewed various haze ...

A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the cont...

A reliable method for dehazing image and video was proposed. The goal is to achieve good dehazed images and videos with proper security at the receiver side. The image was dehazed by dark channel prior. The system based on fast single image dehazing and here the codecs used is joint photographic expert group. Then the compressed image is extended to compressed video, by using codecs H.264. Then...

One of the major issues related to dehazing methods (single or multiple image based) evaluation is the absence of the haze-free image (ground-truth). This is also a problem when it concerns the validation of Koschmieder model or its subsequent dehazing methods. To overcome this problem, we created a database called CHIC (Color Hazy Image for Comparison), consisting of two scenes in controlled e...

Natural images captured in bad weather conditions often suffer from poor visibility. Dehazing, the process of removing haze from a single input image or multiple images, is a crucial task in image and video processing, which is quite challenging because the number of freedoms is lager than the number of observations. In this paper, we propose a novel method to reduce the block artifacts and hal...

Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Human Visual System to robustly discount varying illuminations when observing a scene under different spectral lighting conditions. Retinex has been widely explored in the computer vision literature for image enhancement...

In this paper, we propose a new fast dehazing method from single image based on filtering. The basic idea is to compute an accurate atmosphere veil that is not only smoother, but also respect with depth information of the underlying image. We firstly obtain an initial atmosphere scattering light through median filtering, then refine it by guided joint bilateral filtering to generate a new atmos...