articleTop 1% cited
LLNet: A deep autoencoder approach to natural low-light image enhancement
Pattern Recognition · 2016 · Vol. 61 · pp. 650–662
Kin Gwn Lore(Iowa State University)Adedotun Akintayo(Iowa State University)Soumik Sarkar✉(Iowa State University)
Image Enhancement TechniquesImage and Signal Denoising MethodsAdvanced Image Processing TechniquesArtificial intelligenceComputer scienceAutoencoderComputer visionBrightnessHigh dynamic rangeDeep learningNoise (video)Contrast (vision)Noise reduction
Funding
- Nvidia
- Rockwell Collins
- Iowa State University
Citations
1,830
FWCI
22.20
field-weighted impact
References
39
Percentile
100%
vs. same field & year
Citations per year
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References
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing · 2007 · 9,026 citations
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
IEEE Transactions on Image Processing · 2005 · 1,134 citations
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing · 2004 · 54,590 citations
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing · 2006 · 5,342 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
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