Low-Artifact and Fast Backlit Image Enhancement Method Based on Suppression of Lightness Order Error-Reference-Cited by-同舟云学术

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Low-Artifact and Fast Backlit Image Enhancement Method Based on Suppression of Lightness Order Error

Published:2023 Issue: Volume:11 Page:121231-121245
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Akai Masato¹,Ueda Yoshiaki²^ORCID,Koga Takanori³,Suetake Noriaki⁴^ORCID

Affiliation:

1. Imaging Solution Development Department, Nikon Corporation, Minato-ku, Tokyo, Japan

2. Faculty of Advanced Science and Technology, Ryukoku University, Otsu-shi, Shiga, Japan

3. Faculty of Humanity-Oriented Science and Engineering, Kindai University, Iizuka-shi, Fukuoka, Japan

4. Graduate School of Science and Technology for Innovation, Yamaguchi University, Yamaguchi-shi, Yamaguchi, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10299637.pdf?arnumber=10299637

Reference44 articles.

1. Backlit images enhancement using global tone mappings and image fusion

2. Towards Low Light Enhancement With RAW Images

3. A fusion-based enhancing method for weakly illuminated images

4. Simple low-light image enhancement based on Weber–Fechner law in logarithmic space

5. A Generalized Unsharp Masking Algorithm

Cited by 2 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. Single Image Enhancement Using Gradient-Norm-Based Tone Curve for Images Captured in Wide-Dynamic-Range Scenes;IEEE Access;2024

2. Resource Limited Contrast Enhancement of Low Light Images Using Hybrid Conditional Generative Adversarial Network with Combined Loss;2024

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