A Robust and Fast Fundus Image Enhancement by Dehazing

C. Aruna Vinodhini, S. Sabena and L. Sai Ramesh
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C. Aruna Vinodhini: Anna University
S. Sabena: Anna University
L. Sai Ramesh: Anna University

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1111-1119 from Springer

Abstract: Abstract Retinal fundus images are important for the identification and detection of vision- related diseases such as diabetes and hypertension. From an acquisition process, retinal images often have large luminosity, noise and low contrast which seriously affect the automated system of deriving diagnostic parameters. In this paper, a new faster method of correcting luminosity by de-hazing is applied. This method corrects the non-uniform illumination in the intensity domain and then the contrast enhancement is performed along with filtering. Experiments were performed on the publicly available retinal image dataset DRIVE AND DIARETDB1.

Keywords: Haze removal; Over exposure; Soft matting; Filtering (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_113

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DOI: 10.1007/978-3-030-41862-5_113

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