WATNet: A Wavelet-Aware Lightweight Hybrid Model for Fast Low-Light Enhancement-Reference-Cited by-同舟云学术

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WATNet: A Wavelet-Aware Lightweight Hybrid Model for Fast Low-Light Enhancement

Published:2023-11-10 Issue: Volume: Page:1556-1564
ISSN:
Container-title:2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
language:
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Author:

Wang Qiangqiang¹,Huang Peiliang²,Li Lei³,Han Longfei⁴

Affiliation:

1. Anhui University,AHU-IAI AI Joint Laboratory,Hefei,China

2. Northwestern Polytechnical University,School of Automation,Xi’an,China

3. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory,Beijing,China

4. Beijing Technology and Business University,Beijing,China

Funder

National Natural Science Foundation of China

Beijing Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528382/10528383/10528636.pdf?arnumber=10528636

Reference45 articles.

1. HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

2. Blind inverse gamma correction

3. Adaptive histogram equalization and its variations

4. Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images

5. LIME: Low-Light Image Enhancement via Illumination Map Estimation

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