JiJingYu / Open-Image-Enhancement

Image Enhancement Techniques for low-light/non-uniform illuminance images

Open Image Enhancement

Contrast Enhancement Techniques

Methods

Low-light Image Enhancement

• HE-based
  • BPDHE bpdhe
  • DHE A Dynamic Histogram Equalization for Image Contrast Enhancement IEEE TCE 2007
  • DHECI
  • CLAHE (Contrast-limited adaptive histogram equalization) clahe clahe_lab
  • WAHE (Weighted Approximated Histogram Equalization)
  • CVC (Contextual and Variational Contrast enhancement) PDF
  • LDR (Layered Difference Representation) website (CVC, WAHE)
• Retinex-based
  • AMSR
  • LIME website
  • NPE website
  • SRIE (Simultaneous Reflection and Illumination Estimation) CVPR2016 website
  • MF (Multi-deviation Fusion method) website
  • others/robustRetinex.m Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model (TIP 2018) website
• Dehaze-based
  • Dong
• Camera-Response-Model-based
  • Ying_2017_ICCV.m
• Fusion-based
  • Ying_2017_CAIP.m python version
• Others
  • others/jed.m JED "Joint Enhancement and Denoising Method via Sequential Decomposition" , ISCAS 2018 website

Related Work

• Fast Image Processing with Fully-Convolutional Networks (ICCV 2017) (https://github.com/CQFIO/FastImageProcessing)
• Deep Bilateral Learning for Real-Time Image Enhancements (Siggraph 2017) (https://github.com/mgharbi/hdrnet)

Test Images

• 500 from Berkeley Segmentation Data Set and Benchmarks 500 (BSDS500)
• 24 from Kodak Lossless True Color Image Suite
• 7 of 4.2.0x from The USCI-SIPI Image Database, Volume 3: Miscellaneous
• 69 captured images from commercial digital cameras: Download (15.3 MB)
• 4 synthetic images: Download (445 kB)
• MIT Intrinsic Images dataset: http://www.cs.toronto.edu/~rgrosse/intrinsic/

Metrics

• entropy (DE)
• EME
• AB
• PixDist
• LOE

Publications

Source code can be found at ours folder:

1. A New Image Contrast Enhancement Algorithm using Exposure Fusion Framework (accepted by CAIP 2017，journal version submitted to IEEE Transactions on Cybernetics) project website

2. A New Low-Light Image Enhancement Algorithm using Camera Response Model (accepted by ICCV Workshop 2017)

Citations

@inproceedings{fu2016srie,
  title={A weighted variational model for simultaneous reflectance and illumination estimation},
  author={Fu, Xueyang and Zeng, Delu and Huang, Yue and Zhang, Xiao-Ping and Ding, Xinghao},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2782--2790},
  year={2016}
}
@article{celik2011cvc,
  title={Contextual and variational contrast enhancement},
  author={Celik, Turgay and Tjahjadi, Tardi},
  journal={IEEE Transactions on Image Processing},
  volume={20},
  number={12},
  pages={3431--3441},
  year={2011},
  publisher={IEEE}
}
@inproceedings{lee2012ldr,
  title={Contrast enhancement based on layered difference representation},
  author={Lee, Chulwoo and Lee, Chul and Kim, Chang-Su},
  booktitle={Image Processing (ICIP), 2012 19th IEEE International Conference on},
  pages={965--968},
  year={2012},
  organization={IEEE}
}
@article{arici2009wahe,
  title={A histogram modification framework and its application for image contrast enhancement},
  author={Arici, Tarik and Dikbas, Salih and Altunbasak, Yucel},
  journal={IEEE Transactions on image processing},
  volume={18},
  number={9},
  pages={1921--1935},
  year={2009},
  publisher={IEEE}
}
@article{fu2016mf,
  title={A fusion-based enhancing method for weakly illuminated images},
  author={Fu, Xueyang and Zeng, Delu and Huang, Yue and Liao, Yinghao and Ding, Xinghao and Paisley, John},
  journal={Signal Processing},
  volume={129},
  pages={82--96},
  year={2016},
  publisher={Elsevier}
}
@article{ibrahim2007bpdhe,
  title={Brightness preserving dynamic histogram equalization for image contrast enhancement},
  author={Ibrahim, Haidi and Kong, Nicholas Sia Pik},
  journal={IEEE Transactions on Consumer Electronics},
  volume={53},
  number={4},
  pages={1752--1758},
  year={2007},
  publisher={IEEE}
}
@inproceedings{lee2013amsr,
  title={Adaptive multiscale retinex for image contrast enhancement},
  author={Lee, Chang-Hsing and Shih, Jau-Ling and Lien, Cheng-Chang and Han, Chin-Chuan},
  booktitle={Signal-Image Technology \& Internet-Based Systems (SITIS), 2013 International Conference on},
  pages={43--50},
  year={2013},
  organization={IEEE}
}
@inproceedings{dong2011fast,
  title={Fast efficient algorithm for enhancement of low lighting video},
  author={Dong, Xuan and Wang, Guan and Pang, Yi and Li, Weixin and Wen, Jiangtao and Meng, Wei and Lu, Yao},
  booktitle={2011 IEEE International Conference on Multimedia and Expo},
  pages={1--6},
  year={2011},
  organization={IEEE}
}
@inproceedings{nakai2013dheci,
  title={Color image contrast enhacement method based on differential intensity/saturation gray-levels histograms},
  author={Nakai, Keita and Hoshi, Yoshikatsu and Taguchi, Akira},
  booktitle={Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on},
  pages={445--449},
  year={2013},
  organization={IEEE}
}
@inproceedings{grosse2009ground,
  title={Ground truth dataset and baseline evaluations for intrinsic image algorithms},
  author={Grosse, Roger and Johnson, Micah K and Adelson, Edward H and Freeman, William T},
  booktitle={2009 IEEE 12th International Conference on Computer Vision},
  pages={2335--2342},
  year={2009},
  organization={IEEE}
}
**Please feel free to contact me (yingzhenqiang-at-gmail-dot-com) if you have any further questions or concerns.**