Enhance Contrast and Balance Color of Retinal Image
This paper proposes a simple and effective retinal fundus image simulation modeling to enhance contrast and adjust the color balance for symmetric information in biomedicine. The aim of the study is for reliable diagnosis of AMD (age-related macular degeneration) screening. The method consists of a...
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MDPI AG
2021
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oai:doaj.org-article:4c6f80a0f7a24497b4cfc6494f748be12021-11-25T19:06:40ZEnhance Contrast and Balance Color of Retinal Image10.3390/sym131120892073-8994https://doaj.org/article/4c6f80a0f7a24497b4cfc6494f748be12021-11-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/2089https://doaj.org/toc/2073-8994This paper proposes a simple and effective retinal fundus image simulation modeling to enhance contrast and adjust the color balance for symmetric information in biomedicine. The aim of the study is for reliable diagnosis of AMD (age-related macular degeneration) screening. The method consists of a few simple steps. Firstly, local image contrast is refined with the CLAHE (Contrast Limited Adaptive Histogram Equalization) technique by operating CIE <i>L</i>*<i>a</i>*<i>b</i>* color space. Then, the contrast-enhanced image is stretched and rescaled by a histogram scaling equation to adjust the overall brightness offsets of the image and standardize it to Hubbard’s retinal image brightness range. The proposed method was assessed with retinal images from the DiaretDB0 and STARE datasets. The findings in the experimentation section indicate that the proposed method results in delightful color naturalness along with a standard color of retinal lesions.Jessada DissopaSupaporn KansomkeatSathit IntajagMDPI AGarticlecolor retinal imagecolor balancecontrast enhancementRayleigh CLAHEage-related macular degenerationMathematicsQA1-939ENSymmetry, Vol 13, Iss 2089, p 2089 (2021) |
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color retinal image color balance contrast enhancement Rayleigh CLAHE age-related macular degeneration Mathematics QA1-939 |
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color retinal image color balance contrast enhancement Rayleigh CLAHE age-related macular degeneration Mathematics QA1-939 Jessada Dissopa Supaporn Kansomkeat Sathit Intajag Enhance Contrast and Balance Color of Retinal Image |
description |
This paper proposes a simple and effective retinal fundus image simulation modeling to enhance contrast and adjust the color balance for symmetric information in biomedicine. The aim of the study is for reliable diagnosis of AMD (age-related macular degeneration) screening. The method consists of a few simple steps. Firstly, local image contrast is refined with the CLAHE (Contrast Limited Adaptive Histogram Equalization) technique by operating CIE <i>L</i>*<i>a</i>*<i>b</i>* color space. Then, the contrast-enhanced image is stretched and rescaled by a histogram scaling equation to adjust the overall brightness offsets of the image and standardize it to Hubbard’s retinal image brightness range. The proposed method was assessed with retinal images from the DiaretDB0 and STARE datasets. The findings in the experimentation section indicate that the proposed method results in delightful color naturalness along with a standard color of retinal lesions. |
format |
article |
author |
Jessada Dissopa Supaporn Kansomkeat Sathit Intajag |
author_facet |
Jessada Dissopa Supaporn Kansomkeat Sathit Intajag |
author_sort |
Jessada Dissopa |
title |
Enhance Contrast and Balance Color of Retinal Image |
title_short |
Enhance Contrast and Balance Color of Retinal Image |
title_full |
Enhance Contrast and Balance Color of Retinal Image |
title_fullStr |
Enhance Contrast and Balance Color of Retinal Image |
title_full_unstemmed |
Enhance Contrast and Balance Color of Retinal Image |
title_sort |
enhance contrast and balance color of retinal image |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/4c6f80a0f7a24497b4cfc6494f748be1 |
work_keys_str_mv |
AT jessadadissopa enhancecontrastandbalancecolorofretinalimage AT supapornkansomkeat enhancecontrastandbalancecolorofretinalimage AT sathitintajag enhancecontrastandbalancecolorofretinalimage |
_version_ |
1718410275914252288 |