Haze formation is the blend of air-light and attenuation. Attenuation reduces the contrast and air-light enlarges the whiteness in the captured image. Fog and haze are atmospheric conditions generated by floating particles, degrade the quality of images. Haze removal algorithms have become more beneficial for several vision applications. As we know there is no single technique i.e. accurate for all different kind of problems and circumstances. The existing approaches have neglected many issues like noise reduction and nonuniform illumination which will be presented in the output image of the existing haze removal algorithms. This dissertation has proposed a new haze removal technique HDCP which will integrate improved dark channel prior with histogram equalization to remove the haze from color images and weighted guided filter is used to decrease noise from images. The proposed algorithm is implemented and tested in MATLAB. The results have shown that the proposed algorithm has shown quite effective results.
This paper proposes a prototype model for an automatic anti-glare system to reduce the risk of accidents during night time driving. The architecture consists of an aperture assembly and sensors. The aperture assembly is a two dimensional array of aperture elements, and their transmittances can be independently controllable. According to the transmittance, each aperture element will act either as opaque or transparent. The intensity of light ray is modulated by the transmittance of aperture elements, which causes the reduction of intensity of light passing through it. The prototype is implemented using liquid crystal display (LCD) and photovoltaic sensors. This system provides an automated mechanism to control the illumination according to the direction of incoming light. The fundamental idea is to measure the incoming light and using measured values to generate patterns on the LCD to reduce the illumination. The proposed prototype can be implemented in two ways: i) as spectacles with liquid crystal sheets placed in front of the glasses, which can be used while driving, ii) by placing large liquid crystal sheets in front of the windshields of vehicles. This method provides a flexible low cost implementation to build simple, reliable device to reduce the intensity of the light on-the-fly.
Haze in images creates problems to various computer vision and computer graphics applications. So, image haze removal has become very important step in computer vision, due to vast development and increasing demand of various applications. Mostly images are captured outdoor. Some times in bad weather conditions so images can contain haze as well as some noise. Noise and haze both degrade the quality of an image. Haze is formed due to the combination of attenuation and airlight. Attenuation reduces the image contrast and air light increases the whiteness in the image, Hence, making the images unclear. So the objective of this paper is to give a brief review of various image haze removal techniques.
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