DCT/IDCT Filter Design for Ultrasound Image Filtering

0541854 - ÚTIA 2022 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Honarvar Shakibaei Asli, Barmak - Flusser, Jan - Zhao, Y. - Erkoyuncu, J. A. - Roy, R.
DCT/IDCT Filter Design for Ultrasound Image Filtering.
Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020). Piscataway: IEEE, 2021, s. 1804-1811. ISBN 978-1-7281-8808-9.
[International Conference on Pattern Recognition (ICPR 2020) /25./. Milano (IT), 10.01.2021-15.01.2021]
Grant CEP: GA ČR GA18-07247S; GA ČR GJ18-26018Y
Institucionální podpora: RVO:67985556
Klíčová slova: convolution model of discrete cosine * finite impulse response * inverse DCT
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2021/ZOI/honarvar-0541854.pdf

In 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.
Trvalý link: http://hdl.handle.net/11104/0319397