Curvelet domain image fusion of OCT and fundus imagery using convolution of Meridian distributions

Odysseas A Pappas, Anantrasirichai Nantheera, Lindsay B Nicholson, James E Morgan, Irina Erchova, Alin M Achim

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

This paper presents a novel statistical model based method aimed at fusing Optical Coherence Tomography and Fundus Photographic imagery of the eye. The presented method utilises the Discrete Curvelet Transform to decompose the images into sub-band coefficients. The Meridian distribution, a specialized case of the generalized Cauchy distribution, is used to model the curvelet decomposition coefficients. The convolution of the input image distributions is used as a probabilistic prior for modelling the fused image coefficients. Experimental results show this method to provide very high-quality fusion results.
Original languageEnglish
Title of host publicationImage Processing (ICIP), 2013 20th IEEE International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1423-1427
DOIs
Publication statusPublished - 2013

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