Halo Reduction
Halo Reduction is a computational technique in image processing that belongs to the class of tone mapping operators and specifically functions to minimize perceptual artifacts manifested as bright or dark fringes around high-contrast edges by selectively attenuating local luminance gradients.
78
Publications
4.5K
Citations
349
Authors
134
Institutions
Publications per year
2017–2026
26
Parents
78
Weighted Guided Image Filtering
Zhengguo Li, Jinghong Zheng, Zijian Zhu et al. · IEEE Transactions on Image Processing · 2014 · 557 citations
A Generalized Unsharp Masking Algorithm
Guang Deng · IEEE Transactions on Image Processing · 2010 · 343 citations
Gradient Domain Guided Image Filtering
Fei Kou, Weihai Chen, Changyun Wen et al. · IEEE Transactions on Image Processing · 2015 · 334 citations
Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion
Hui Li, Kede Ma, Hongwei Yong et al. · IEEE Transactions on Image Processing · 2020 · 186 citations
1–5 of 78
349
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3
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European Organization for Nuclear Research, Switzerland
2 publications · 37 citations
2
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2
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2
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1–5 of 349
134
Institute for Infocomm Research
Singapore, Singapore
5 h-index
14 publications
2.9K citations

Beihang University
Beijing, China
3 h-index
7 publications
1.4K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
7 publications
1.2K citations

Hefei University of Technology
Hefei, China
2 h-index
2 publications
38 citations
Xi'an University of Technology
Xi'an, China
2 h-index
9 publications
513 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
8 publications
500 citations
Wuhan University of Science and Technology
Wuhan, China
2 h-index
2 publications
574 citations

Thapar Institute of Engineering & Technology
Patiāla, India
2 h-index
4 publications
48 citations
1–8 of 134
7 publications · 2K citations
7
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5 publications · 209 citations
5
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3 publications · 61 citations
3
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3 publications · 75 citations
3
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3 publications · 68 citations
3
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1–5