Optimization of Single Image Dehazing Based on Stationary Wavelet Transform-Reference-Cited by-同舟云学术

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Optimization of Single Image Dehazing Based on Stationary Wavelet Transform

Published:2024 Issue: Volume: Page:414-421
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:en
Short-container-title:

Author:

Sankar M. Ravi^ORCID,Krishna P. Rama^ORCID,Yamini A.,Manikanta Ch.,Swathika R. Rupa,Tulasi Y. Tanuja,Raju B. Elisha^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-48888-7_35

Reference29 articles.

1. Lu, J., Dong, C.: DSP-based image real-time dehazing optimization for improved dark-channel prior algorithm. J. Real-Time Image Proc. 17, 1675–1684 (2020)

2. Golts, A., Freedman, D., Elad, M.: Unsupervised single image dehazing using dark channel prior loss. IEEE Trans. Image Proc. 29, 2692–2701 (2020)

3. Zhu, Q., Mai, J., Shao, L.: A fast single image haze removal algorithm using color attenuation prior. Image Process. IEEE Trans. 24(11), 3522–3533 (2015)

4. Cai, B., et al.: Dehazenet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187–5198 (2016)

5. Gibson, K.B., Vo, D.T., Nguyen, T.Q.: An investigation of dehazing effects on image and video coding. IEEE Trans. Image Process. 21(2), 662–673 (2012)

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1. Adams Optimized Image Restoration Using Multi-Level Wavelet CNN with Added Noise;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

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