ShuheZhang-MUMC / A-list-of-retinal-image-enhancement-papers

A list of retinal-image enhancement papers

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A-list-of-retinal-image-enhancement-papers (updating)

1. Description

  • 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.

2. Retinal image public datasets

3. Retinal image enhacnement papers

2023

  • 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]

2022

  • 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]

2021

  • 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]

2020

  • 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]

2019

  • 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]

2018 and before

  • 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]

4. Notes

  • 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.

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A list of retinal-image enhancement papers