Coded Apertures for Defocus Deblurring

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dc.contributor.authorMasia, Belenen_US
dc.contributor.authorCorrales, Adrianen_US
dc.contributor.authorPresa, Laraen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.editorSilva, F. and Gutierrez, D. and Rodríguez, J. and Figueiredo, M.en_US
dc.date.accessioned2021-06-18T07:47:44Z
dc.date.available2021-06-18T07:47:44Z
dc.date.issued2021
dc.description.abstractThe field of computational photography, and in particular the design and implementation of coded apertures, has yielded impressive results in the last years. Among their applications lies defocus deblurring, in which we focus in this paper. Following the approach of previous works, we obtain near-optimal coded apertures using a genetic algorithm and an existing quality metric. We perform both synthetic and real experiments, testing the performance of the apertures along the dimensions of depth, size and shape. We additionally explore non-binary apertures, usually overlooked in the literature, and perform a comparative analysis with their binary counterparts.en_US
dc.description.sectionheadersDisplays and Computational Photography
dc.description.seriesinformationV Ibero-American Symposium in Computer Graphics
dc.identifier.doi10.2312/pt.20111135
dc.identifier.isbn978-3-03868-152-6
dc.identifier.pages99-105
dc.identifier.urihttps://doi.org/10.2312/pt.20111135
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20111135
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.3 [Image Processing and Computer Vision]
dc.subjectEnhancement
dc.subjectSharpening and deblurring
dc.titleCoded Apertures for Defocus Deblurringen_US
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