Real Time Visibility Enhancement for Single Image Haze Removal

Abstract In this paper, we propose an efficient method to remove haze from a single input image. Here, we presented an approach which is based on Fast Fourier Transform. Transmission map is refined by the dark channel prior method and Fast Fourier Transform. Finally the scene radiance is corrected using the visibility restoration model. Qualitative and quantitative results demonstrated that this method can effectively remove the bad weather condition and enhance the contrast of the input images and performs well in comparison with bilateral filtering. Moreover, the proposed method can significantly reduce the computational complexity. The use of Fast Fourier Transform in these images makes our approach faster by 88% in comparison to the bilateral filtering method. The main advantage of the proposed approach is suitable for images with too much of the sky background. Proposed method, due to its speed and ability to improve visibility, may be used in many systems such as surveillance, consumer electronics and remote sensing.

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