Multiscale Single Image Dehazing Based on Adaptive Wavelet Fusion

Wei Wang, Wenhui Li, Qingji Guan and Miao Qi

Mathematical Problems in Engineering, 2015, vol. 2015, 1-14

Abstract:

Removing the haze effects on images or videos is a challenging and meaningful task for image processing and computer vision applications. In this paper, we propose a multiscale fusion method to remove the haze from a single image. Based on the existing dark channel prior and optics theory, two atmospheric veils with different scales are first derived from the hazy image. Then, a novel and adaptive local similarity-based wavelet fusion method is proposed for preserving the significant scene depth property and avoiding blocky artifacts. Finally, the clear haze-free image is restored by solving the atmospheric scattering model. Experimental results demonstrate that the proposed method can yield comparative or even better results than several state-of-the-art methods by subjective and objective evaluations.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:131082

DOI: 10.1155/2015/131082

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