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dc.contributor.authorGauci, Adam-
dc.contributor.authorAbela, John-
dc.contributor.authorCachia, Ernest-
dc.contributor.authorHirsch, Michael-
dc.contributor.authorZarb Adami, Kristian-
dc.date.accessioned2023-04-19T13:37:45Z-
dc.date.available2023-04-19T13:37:45Z-
dc.date.issued2017-
dc.identifier.citationGauci, A., Abela, J., Cachia, E., Hirsch, M., & ZarbAdami, K. (2017, February). Multi-frame blind image deconvolution through split frequency-phase recovery. Eighth International Conference on Graphic and Image Processing (ICGIP 2016), Japan. 198-203.en_GB
dc.identifier.issn0277786X-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/108678-
dc.description.abstractThe study of images in scientific fields such as remote sensing, medical imaging and astronomy comes naturally not only because pictures mimic one of the main sensory elements of humans, but also because they allow for the visualisation of wavelengths beyond the sensitive range of the human eye. However, accurate information extraction from images is only possible if the data are known to be free of noise, blur and artificial artifacts. In astronomical images, apart from hardware limitations, biases arise from image degradation caused by phenomena beyond one’s control such as, for instance, atmospheric and ionospheric turbulence. Deconvolution attempts to undo such adverse effects and recover the true intensity values from measured ones. Having a robust and accurate deconvolution algorithm is very important especially for large-scale telescopes such as the Square Kilometre Array (SKA) through which sensitive investigations including gravitational lensing research and the detection of faint sources are to be made. In this work, we investigate the improvements gained if an ensemble of algorithms is used to minimise the overall restoration error. We present a blind deconvolution method that is able to process multiple frames and yields improved results when compared to the state-of-the-art.en_GB
dc.language.isoenen_GB
dc.publisherSPIEen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectImage processing -- Digital techniquesen_GB
dc.subjectSpectrum analysis -- Deconvolutionen_GB
dc.subjectSpace telescopesen_GB
dc.subjectAstronomical photometryen_GB
dc.subjectOptical data processingen_GB
dc.subjectObservations, Astronomicalen_GB
dc.titleMulti-frame blind image deconvolution through split frequency-phase recoveryen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameInternational Conference on Graphic and Image Processingen_GB
dc.bibliographicCitation.conferenceplaceTokyo, Japan. 29-31/10/2016.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1117/12.2266257-
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