Special Issue "Advances in Retinal Image Processing"

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Medical Imaging".

Deadline for manuscript submissions: 31 July 2023 | Viewed by 112

Special Issue Editors

Department of Mathematical and Computational Sciences, National Institute of Technology Karnataka, Surathkal, Karnataka 575 025, India
Interests: mathematical imaging; image processing; data compression; graph image processing
Special Issues, Collections and Topics in MDPI journals
Theoretical and Experimental Epistemology Laboratory, University of Waterloo, Waterloo, ON N2J 4A8, Canada
Interests: vision science; physics; ECE and systems design engineering; optics and photonics; including mathematical methods; waveguides and fiber optics; image processing; biomedical optics; deep learning/machine learning in ophthalmic diagnosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Visual impairment is a primary global challenge in the present era. Lack of awareness, shortage of resources and trained personnel, inability to seek immediate medical treatments, etc. can lead to several retinal disorders, which can in turn lead to blindness or severe visual impairment. The human retina is examined through non-invasive procedures such as fundus photography and optical coherence tomography. Other methods can include fluorescein angiography. From these images of the retina, ophthalmologists visually analyze and locate the retinal abnormalities of various retinal disorders. However, this is not feasible due to large numbers of patients, lack of adequately trained clinical personnel, as well as resources in the developing world, and underdeveloped or underserved areas in the developed world.

Automated retinal image analysis, which can be used in teleophthalmology, is thus of utmost importance to diagnose and grade, as well as monitor the progression or regression the disease after surgical and therapeutic intervention. State-of-the art devices such as portable OCT, smart-phone camera attachments, etc. have simplified the acquisition of retinal images to some extent. Nevertheless, the ever-increasing blind population and the availability of massive computational resources have spurred the urgent need to develop automated retinal imaging applications. The gamut of cutting-edge technologies such as Artificial Intelligence and deep learning is a possible gateway to resolve these challenges. The domain of enhancement and registration of retinal images, multimodal analysis, and multiple disorder detection, as well as vendor-independent retinal image processing, are the limelight of retinal imaging.

A first volume of the Special Issue titled “Frontiers in Retinal Image Processing” (https://www.mdpi.com/journal/jimaging/special_issues/retinal_image_processing) was published in the journal. Five selected papers were published in the Special Issue. The second volume of the Special Issue is now being planned to be published in the journal. The Special Issue aims at research, broadly defined, that deals with multiple issues, all orbiting around image acquisition and processing, which can be of assistance to the clinician and ophthalmic manufacturers. The objective of this issue is to gather in one venue relevant high-quality research and thereby contribute to the field of medical imaging and image processing in ophthalmology.

Topics of Interest:

The topics of interest include (but not limited to):

  • Automatic retinal disorder classification from retinal images
  • Early-stage diagnosis and grading of retinal disorders
  • Handheld or computerized devices for retinal image acquisition
  • Restoration and enhancement of retinal images
  • Analysis of retinal disorders using multimodal retinal images
  • Segmentation of retinal images
  • Image registration
  • Computer-vision-based retinal image analysis
  • Volumetric analysis of retinal images using image processing techniques
  • Analysis of progressive retinal disorders using machine learning and deep learning
  • Cross-vendor supported applications to assist ophthalmologists
  • Multispectral retinal image analysis and applications

Dr. P. Jidesh
Prof. Dr. Vasudevan Lakshminarayanan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • retinal image processing
  • ophthalmology
  • classification
  • segmentation
  • registration
  • denoising
  • retinal disorders

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Published Papers

This special issue is now open for submission.
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