Retinal Image Preprocessing
Retinal Image Preprocessing is a computational method in visual neuroscience that enhances raw retinal image data by removing noise, correcting optical distortions, and normalizing illumination to optimize downstream neural signal encoding and feature extraction in biological or artificial vision systems.
160
Publications
6.6K
Citations
671
Authors
280
Institutions
Publications per year
2017–2026
89
Parents
160
Improved adaptive complex diffusion despeckling filter
Rui Bernardes, Cristina Maduro, Pedro Serranho et al. · Optics Express · 2010 · 151 citations · Full text
Enhancing retinal image by the Contourlet transform
Peng Feng, Yingjun Pan, Biao Wei et al. · Pattern Recognition Letters · 2006 · 137 citations
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Agency for Science, Technology and Research
Singapore, Singapore
5 h-index
14 publications
567 citations
Institute for Infocomm Research
Singapore, Singapore
5 h-index
14 publications
567 citations
National University of Singapore
Singapore, Singapore
4 h-index
6 publications
288 citations
Singapore Eye Research Institute
Singapore, Singapore
4 h-index
13 publications
459 citations

Charles Sturt University
Bathurst, Australia
4 h-index
5 publications
292 citations

Xi'an Jiaotong University
Xi'an, China
4 h-index
11 publications
250 citations

Beijing University of Technology
Beijing, China
4 h-index
7 publications
297 citations

Johns Hopkins University
Baltimore, United States
4 h-index
11 publications
368 citations
1–8 of 280
4 publications · 234 citations
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TVST · 4 publications · 145 citations
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LNCS · Book series · 3 publications · 178 citations
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3 publications · 150 citations
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3 publications · 79 citations
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