A New Method of Blind Deconvolution for Colour Fundus Retinal Images

Williams, Bryan M ORCID: 0000-0001-5930-287X, Chen, Ke ORCID: 0000-0002-6093-6623, Harding, Simon P ORCID: 0000-0003-4676-1158 and Zheng, Yalin ORCID: 0000-0002-7873-0922 (2015) A New Method of Blind Deconvolution for Colour Fundus Retinal Images In: Ophthalmic Medical Image Analysis Second International Workshop, 2015-10-9 - 2015-10-9.

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Abstract

Fundus retinal imaging is widely used in the diagnosis and management of eye disease. Blur commonly occurs in the acquisition and when it is severe the resulting loss of resolution hampers accurate clinical assessment. In this paper, we present a new technique to address this challenging problem. We make use of implicitly constrained image deblurring, which is known to provide improved results over unconstrained and explicitly constrained methods, and build this into a multi-channel variational framework for parametric deblurring. We propose a new method for automatically selecting the regularisation parameter in the absence of the true (sharp) image using vessel segmentation. We then modify the model to include a regularisation coefficient function which is dependent on an available image mask in order to avoid potential inaccuracies caused by the addition of artificial masks. We present experimental results to demonstrate the effectiveness of our new method.

Item Type:	Conference Item (Unspecified)
Uncontrolled Keywords:	46 Information and Computing Sciences, 4603 Computer Vision and Multimedia Computation, Eye Disease and Disorders of Vision, Bioengineering, Neurosciences, Clinical Research, Biomedical Imaging, Networking and Information Technology R&D (NITRD), 4.2 Evaluation of markers and technologies, 4.1 Discovery and preclinical testing of markers and technologies, Eye
Depositing User:	Symplectic Admin
Date Deposited:	05 May 2016 10:07
Last Modified:	16 Jan 2026 05:49
DOI:	10.17077/omia.1036
Related Websites:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3001060
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