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April 29, 2026Journal of Intelligent Medicine and Healthcare0 citationsOpen Access

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Multi-Dataset Validation, Statistical Analysis, and Comparative Benchmarking

KMK. MithraPace UniversityPSPrem Kumar SanthanamPace University

Key Points

  • This research aims to enhance the diagnostic quality of retinal fundus images through contrast improvement methods.
  • Utilized CLAHE (Contrast Limited Adaptive Histogram Equalization) for image processing.
  • Conducted statistical analysis and comparative benchmarking across multiple datasets.
  • Validated methods against standard imaging techniques for effectiveness.
  • Significant improvement in image contrast noted across all datasets, enhancing visibility of retinal features.
  • Statistical analysis showed the effectiveness of CLAHE with a sensitivity increase of 30% for early diagnosis of diabetic retinopathy (p<0.01).
  • Benchmarking highlighted superior performance compared to conventional contrast methods.

Abstract

Background: Retinal fundus imaging is central to early diagnosis of sight-threatening conditions, including diabetic retinopathy, glaucoma, and retinal vein occlusion. Clinical utility is compromised by non-uniform illuminat... | Find, read and cite all the research you need on Tech Science Press

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Cite This Study

Mithra et al. (2026) studied this question.

synapsesocial.com/papers/69f19f74edf4b468248063e5https://doi.org/10.32604/jimh.2026.080288
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