0541854 20240103225721.820210420235959.9 8 s. E cav_un_epca*0541901978-1-7281-8808-91804-1811PiscatawayIEEE2021 convolution model of discrete cosine finite impulse response inverse DCT cav_un_auth*0347018 Honarvar Shakibaei Asli Barmak UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing MY Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Flusser Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0408436 Zhao Y. GB cav_un_auth*0408435 Erkoyuncu J. A. GB cav_un_auth*0408437 Roy R. GB http://library.utia.cas.cz/separaty/2021/ZOI/honarvar-0541854.pdf GA18-07247S GA ČR cav_un_auth*0360229 GJ18-26018Y GA ČR cav_un_auth*0360230 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. cav_un_auth*0408438 International Conference on Pattern Recognition (ICPR 2020) /25./ 20210110 20210115 Milano IT JD 10000 10200 10201 2022 5 PR RVO:67985556 http://hdl.handle.net/11104/0319397 S 2021 SCOPUS PUBMED WOS cav_un_epca*0541901 Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020) 978-1-7281-8808-9 1804 1811 Piscataway IEEE 2021