A wavelet-based low frequency prior for single-image dehazing

Author:

Koley Subhadeep,Roy Hiranmoy,Dhar Soumyadip

Publisher

Elsevier

Reference37 articles.

1. Ancuti, C., Ancuti, C.O., & Vleeschouwer, C.D. (2016). D-HAZY: A dataset to evaluate quantitatively dehazing algorithms. In Proceedings of IEEE international conference on image processing (ICIP) (pp. 2226–2230).

2. Day and night-time dehazing by local airlight estimation;Ancuti;IEEE Transactions on Image Processing,2020

3. Single image dehazing by multi-scale fusion;Ancuti;IEEE Transactions on Image Processing,2013

4. Color channel transfer for image dehazing;Ancuti;IEEE Signal Processing Letters,2019

5. Vision enhancement through single image fog removal;Anwar;Engineering Science and Technology,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dark channel prior in low frequency domain for time-efficient single image dehazing;International Journal of Image and Data Fusion;2024-02-21

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