Comparison of Image Enhancement Methods for Diabetic Retinopathy Screening
Dublin Core
Title
Comparison of Image Enhancement Methods for Diabetic Retinopathy Screening
Subject
image enhancement; diaebetic retinopathy; image processing; fundus image
Description
The most common factor contributing to visual abnormalities that result in blindness is known as diabetic
retinopathy (DR). Retinal fundus scanning, a non-invasive method that is integral to the picture pre-processing
phase, can be used to identify and monitor DR. Low intensity, irregular lighting, and inhomogeneous color are
some of the main issues with DR fundus photographs. Analysis of aberrant characteristics on retinal fundus
pictures to identify diabetic retinopathy is one of the key responsibilities of image enhancement. However, a variety
of approaches have been created, and it is unknown whether one is best suited for use with retinal fundus images.
This study investigated various image enhancement methods in order to see aberrant abnormalities on retinal
fundus pictures more clearly. This study investigated various image enhancement methods in order to see aberrant
abnormalities on retinal fundus pictures more clearly. Contrast Limited Adaptive Histogram Equalization
(CLAHE) method, Gray Level Slicing method, Median Filtering method, and Low Light method are image
improvement methods used to enhance retinal fundus images. The parameters Natural Image Quality Evaluator
(NIQE), Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and entropy will be used to assess each
image enhancement technique's performance. An ophthalmologist from Hospital University Sains Malaysia
(HUSM) provided the image data. The findings indicate that while each technique has its own benefits, the CLAHE
technique, with a standard deviation MSE of 0.0004, is the best.
retinopathy (DR). Retinal fundus scanning, a non-invasive method that is integral to the picture pre-processing
phase, can be used to identify and monitor DR. Low intensity, irregular lighting, and inhomogeneous color are
some of the main issues with DR fundus photographs. Analysis of aberrant characteristics on retinal fundus
pictures to identify diabetic retinopathy is one of the key responsibilities of image enhancement. However, a variety
of approaches have been created, and it is unknown whether one is best suited for use with retinal fundus images.
This study investigated various image enhancement methods in order to see aberrant abnormalities on retinal
fundus pictures more clearly. This study investigated various image enhancement methods in order to see aberrant
abnormalities on retinal fundus pictures more clearly. Contrast Limited Adaptive Histogram Equalization
(CLAHE) method, Gray Level Slicing method, Median Filtering method, and Low Light method are image
improvement methods used to enhance retinal fundus images. The parameters Natural Image Quality Evaluator
(NIQE), Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and entropy will be used to assess each
image enhancement technique's performance. An ophthalmologist from Hospital University Sains Malaysia
(HUSM) provided the image data. The findings indicate that while each technique has its own benefits, the CLAHE
technique, with a standard deviation MSE of 0.0004, is the best.
Creator
Dafwen Toresa, Fana Wiza, Keumala Anggraini, Taslim ,Edriyansyah, Lisnawita
Source
http://jurnal.iaii.or.id
Publisher
Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association
Date
October 2023
Contributor
Sri Wahyuni
Rights
ISSN Media Electronic: 2580-0760
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Dafwen Toresa, Fana Wiza, Keumala Anggraini, Taslim ,Edriyansyah, Lisnawita, “Comparison of Image Enhancement Methods for Diabetic Retinopathy Screening,” Repository Horizon University Indonesia, accessed February 3, 2026, https://repository.horizon.ac.id/items/show/10093.