Multiscale Single Image Dehazing Based on Adaptive Wavelet Fusion
Joint Authors
Wang, Wei
Li, Wenhui
Guan, Qingji
Qi, Miao
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-05
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Wei& Li, Wenhui& Guan, Qingji& Qi, Miao. 2015. Multiscale Single Image Dehazing Based on Adaptive Wavelet Fusion. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1072960
Modern Language Association (MLA)
Wang, Wei…[et al.]. Multiscale Single Image Dehazing Based on Adaptive Wavelet Fusion. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1072960
American Medical Association (AMA)
Wang, Wei& Li, Wenhui& Guan, Qingji& Qi, Miao. Multiscale Single Image Dehazing Based on Adaptive Wavelet Fusion. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1072960
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072960