- This is a list showing retinal image enhancement papers from 2018 to Now.
- The papers are focused on retinal image obtained by fundus camera. (OCT and other machines are out of scope.)
- Papers and datasets are maintained.
- Codes (if avaliable) for some papers are cited from authors' repositories, some codes are programmed by my self according to related papers.
- DRIVE [dataset]
- STARE [dataset] [paper1] [paper2]
- DiaRetDB0 [dataset] [paper]
- DiaRetDB1 [dataset] [paper]
- Cataract dataset [dataset]
- Messidor [dataset] [paper]
- IDRiD [dataset] [IDRiD Grand Challenge Website]
- HRF [dataset] [paper]
- E-ophtha [dataset] [paper]
- Shuhe Zhang, Carroll A.B. Webers, Tos T.J.M. Berendschot, Luminosity rectified blind Richardson-Lucy deconvolution for single retinal image restoration, Computer Methods and Programs in Biomedicine [paper]
- Aditya Raj, Nisarg A. Shah, Anil Kumar Tiwari, "A novel approach for fundus image enhancement" Biomedical Signal Processing and Control [paper]
- ShuheZhang, Carroll A.B.Webers, Tos T.J.M.Berendschot, "A double-pass fundus reflection model for efficient single retinal image enhancement" Signal Processing [paper] [code]
- Ravi Kumarab and Ashish Kumar Bhandaria, "Luminosity and contrast enhancement of retinal vessel images using weighted average histogram," Biomedical Signal Processing and Control [paper]
- L. Cao and H. Li, "Detail-richest-channel based enhancement for retinal image and beyond," Biomedical Signal Processing and Control [paper]
- J. Wang, Y.-J. Li, and K.-F. Yang, "Retinal fundus image enhancement with image decomposition and visual adaptation," Computers in Biology and Medicine [paper]
- J. Dissopa, S. Kansomkeat, and S. Intajag, "Enhance Contrast and Balance Color of Retinal Image," Symmetry [paper]
- M. Kaur and A. Kamra, "Enhancement of Retinal Image by Hybrid Approach," 2021 2nd International Conference on Computation, Automation and Knowledge Management [paper]
- V. Sathananthavathi and G. Indumathi, "Particle Swarm Optimization Based Retinal Image Enhancement." Wireless Pers Commun [paper]
- L. Cao and H. Li, "Enhancement of blurry retinal image based on non-uniform contrast stretching and intensity transfer," Medical & Biological Engineering & Computing [paper]
- L. Cao, H. Li, and Y. Zhang, "Retinal image enhancement using low-pass filtering and α-rooting," Signal Processing [paper]
- A. Gaudio, A. Smailagic, and A. e. Campilho, "Enhancement of Retinal Fundus Images via Pixel Color Amplication," International Conference on Image Analysis and Recognition [paper] [code]
- A. Qayyum, W. Sultani, F. Shamshad, J. Qadir, and R. Tufail, "Single-Shot Retinal Image Enhancement Using Deep Image Priors," in Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 [[paper]
- B. Gupta and M. Tiwari, "Color retinal image enhancement using luminosity and quantile based contrast enhancement," Multidimensional Systems and Signal Processing [paper]
- I. Qureshi, J. Ma, and K. Shaheed, "A Hybrid Proposed Fundus Image Enhancement Framework for Diabetic Retinopathy," Algorithms [paper]
- Sonali, Sima Sahu, Amit Kumar Singh, S.P. Ghrera, Mohamed Elhoseny, "An approach for de-noising and contrast enhancement of retinal fundus image using CLAHE," Optics & Laser Technology [paper]
- Navdeep Singh, Lakhwinder Kaur, Kuldeep Singh, "Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy," Engineering Science and Technology, an International Journal [paper]
- A. Mitra, S. Roy, S. Roy, and S. K. Setua, "Enhancement and restoration of non-uniform illuminated Fundus Image of Retina obtained through thin layer of cataract," Computer Methods and Programs in Biomedicine [paper]
- M. Zhou, K. Jin, S. Wang, J. Ye, and D. Qian, "Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment," IEEE Transactions on Biomedical Engineering [paper]
- A. M. R. R. Bandara and P. W. G. R. M. P. B. Giragama, "A Retinal Image Enhancement Technique for Blood Vessel Segmentation Algorithm," 2017 IEEE International Conference on Industrial and Information Systems [paper]
- B. Savelli, A. Bria, A. Galdran, C. Marrocco, M. Molinara, A. e. Campilho, and F. Tortorella, "Illumination correction by dehazing for retinal vessel segmentation," IEEE 30th International Symposium on Computer-Based Medical Systems [paper]
- L. Xiong, H. Li, and L. Xu, "An enhancement method for color retinal images based on image formation model," Computer Methods and Programs in Biomedicine [paper]
- P. Dai, H. Sheng, J. Zhang, L. Li, J. Wu, and M. Fan, "Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing," International Journal of Biomedical Imaging [paper]
- A. W. Setiawan, T. R. Mengko, O. S. Santoso, and A. B. Suksmono, "Color Retinal Image Enhancement using CLAHE," International Conference on ICT for Smart Society [paper]
- The above content is constantly updated, welcome continuous attention!
- If you have any question, please feel free to contact Shuhe Zhang (Email: shuhe.zhang@maastrichtuniversity.nl). We are looking forward your comments and suggestions.