0531609 20240103224324.720200817235959.9 85089936159 000560650400001 10.1109/ACCESS.2020.3011970 16 s. P cav_un_epca*04610362169-353681 (2020)141342-141357Institute of Electrical and Electronics Engineers Discrete cosine transform (DCT) inverse discrete cosine transform (IDCT) discrete convolution finite-impulse filter (FIR) Z-transform ultrasound images noise 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*0293042 Zhao Y. GB cav_un_auth*0377796 Erkoyuncu J. A. GB cav_un_auth*0394705 Krishnan K. B. IN cav_un_auth*0394706 Farrokhi Y. IR cav_un_auth*0394707 Roy A. R. GB http://library.utia.cas.cz/separaty/2020/ZOI/honarvar-0531609.pdf https://ieeexplore.ieee.org/document/9149615 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 direct recursive structures and recursive algorithms for the DCT/IDCT with Arbitrary Length. Experimental results on clinical ultrasound images and comparisons with classical Wiener filter, non-local mean (NLM) filter and total variation (TV) algorithms are used to validate the improvements of the proposed approaches in both noise reduction and reconstruction performance for ultrasound images. WOS JD 20000 20200 20206 2021 7 4 A sml 4as 20231122145047.1 RVO:67985556 http://hdl.handle.net/11104/0310650 S Creative Commons Attribution License 20200723 2 Article Computer Science Information Systems|Engineering Electrical Electronic|Telecommunications A ENGINEERING.ELECTRICAL&ELECTRONIC|TELECOMMUNICATIONS|COMPUTERSCIENCE.INFORMATIONSYSTEMS 3.671 0.651 1.9 0.15383 0.592 105968 290 0.587 44.03 4.34 113244 Q1 2.454 17835 Q2 52.4 62.2 Q2 Q2 1.01 Q1 65.751 2020 Soubory v repozitáři: honarvar-0531609-CopyrightReceipt3.pdf 85089936159 SCOPUS PUBMED 000560650400001 WOS cav_un_epca*0461036 IEEE Access 2169-3536 2169-3536 Roč. 8 č. 1 2020 141342 141357 Institute of Electrical and Electronics Engineers