Dehazing image using analytical model and color attenuation prior

Haze removing from a single image is a very difficult problem. Haze is fashioned because of the two essential phenomena which might be attenuation and the air light. Attenuation decrease contrast and air light increase more light inside the region. We use color attenuation prior for dehazing single hazy image. We divide image into small sized patches. Here we discuss atmospheric scattering model, transmission map and patch size also. In this proposed work, we work around two techniques one is fusion based strategies and second is balanced depth map approach. In both techniques, we calculate depth map of hazy image. For calculating the comparison between both techniques we discuss various parameters like Mean square error (MSE), peak signal to noise ratio (PSNR), structural similarity (SSIM) and computational time which show which technique is best. In last section of work, we discuss our result and discuss its shortcoming and future scope of my research process.

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