Multiscale Single Image Dehazing Based on Adaptive Wavelet Fusion

Clicks: 177
ID: 35593
2015
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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.
Reference Key
wang2015multiscalemathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wang, Wei;Li, Wenhui;Guan, Qingji;Qi, Miao;
Journal mathematical problems in engineering
Year 2015
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2015/131082
Keywords Keywords not found

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