Deep Transmission Estimation Based on Dark Channel Prior for Low-light Image Enhancement-Reference-Cited by-同舟云学术

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Deep Transmission Estimation Based on Dark Channel Prior for Low-light Image Enhancement

Published:2024-04-12 Issue: Volume:27 Page:981-985
ISSN:
Container-title:2024 5th International Conference on Computer Engineering and Application (ICCEA)
language:
Short-container-title:

Author:

Wang Caiju¹,Li Fei²,Pan Nianyi¹,Li Xiaomao³

Affiliation:

1. Shanghai University,School of Computer Engineering and Science,China

2. Shanghai University,School of Mechatronic Engineering and Automation,China

3. Shanghai University,Research Institute of USV Engineering & School of Mechatronic Engineering and Automation,China

Funder

National Key Research and Development Program of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10603447/10603450/10603548.pdf?arnumber=10603548

Reference25 articles.

1. AdvFAS: A robust face anti-spoofing framework against adversarial examples

2. Maximum Information Transfer and Minimum Loss Dehazing for Underwater Image Restoration

3. Single Image Haze Removal Using Dark Channel Prior

4. LLNet: A deep autoencoder approach to natural low-light image enhancement

5. EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network

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