DCT/IDCT filter design for ultrasound image filtering

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dc.contributor.authorShakibaei, Barmak Honarvar
dc.contributor.authorFlusser, Jan
dc.contributor.authorZhao, Yifan
dc.contributor.authorErkoyuncu, John Ahmet
dc.contributor.authorRoy, Rajkumar
dc.date.accessioned2021-06-22T10:29:47Z
dc.date.available2021-06-22T10:29:47Z
dc.date.issued2021-05-05
dc.description.abstractIn this paper, a new recursive structure based on the convolution model of discrete cosine transform (DCT) for designing of a finite impulse response (FIR) digital filter is proposed. In our derivation, we start with the convolution model of DCT-II to use its Z-transform for the proposed filter structure perspective. Moreover, using the same algorithm, a filter base implementation of the inverse DCT (IDCT) for image reconstruction is developed. The computational time experiments of the proposed DCT/IDCT filter(s) demonstrate that the proposed filters achieve faster elapsed CPU time compared to the others. The image filtering and reconstruction performance of the proposed approach on ultrasound images are presented to validate the theoretical framework.en_UK
dc.identifier.citationShakibaei BH, Flusser J, Zhao Y, et al., (2021) DCT/IDCT filter design for ultrasound image filtering. In: IEEE 2020 25th International Conference on Pattern Recognition (ICPR 2020), 10-15 January 2021, Milan, Italyen_UK
dc.identifier.isbn978-1-7281-8809-6
dc.identifier.urihttps://doi.org/10.1109/ICPR48806.2021.9412838
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16801
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectWiener filtersen_UK
dc.subjectUltrasonic imagingen_UK
dc.subjectFinite impulse response filtersen_UK
dc.subjectConvolutionen_UK
dc.subjectFilteringen_UK
dc.subjectFiltering algorithmsen_UK
dc.subjectFetusen_UK
dc.titleDCT/IDCT filter design for ultrasound image filteringen_UK
dc.typeConference paperen_UK

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