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Tree-structured algorithm for efficient shearlet-domain light field reconstruction

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
PublisherIEEE
Pages478-482
ISBN (Electronic)978-1-4799-7590-7
DOIs
Publication statusPublished - 14 Dec 2015
Publication typeA4 Article in a conference publication
EventIEEE Global Conference on Signal and Information Processing -
Duration: 1 Jan 1900 → …

Conference

ConferenceIEEE Global Conference on Signal and Information Processing
Period1/01/00 → …

Abstract

This article considers techniques for accelerating a light field reconstruction algorithm operating in shearlet domain. In the proposed approach, an independent reconstruction of epipolar images (EPIs) is replaced with a consecutive tree-structured reconstruction. It aims at decreasing the number of iterations necessary for an EPI reconstruction by using already processed EPIs as initial values in the reconstruction stage. Two algorithms for structuring such processing trees are presented. The reconstruction performance of the proposed algorithms is illustrated on a real dataset. The underlying differences between the algorithms are discussed and numerical results of computation speeds are presented.

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Field of science, Statistics Finland

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