bibtype J - Journal Article
ARLID 0531609
utime 20240103224324.7
mtime 20200817235959.9
SCOPUS 85089936159
WOS 000560650400001
DOI 10.1109/ACCESS.2020.3011970
title (primary) (eng) Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure
specification
page_count 16 s.
media_type P
serial
ARLID cav_un_epca*0461036
ISSN 2169-3536
title IEEE Access
volume_id 8
volume 1 (2020)
page_num 141342-141357
publisher
name Institute of Electrical and Electronics Engineers
keyword Discrete cosine transform (DCT)
keyword inverse discrete cosine transform (IDCT)
keyword discrete convolution
keyword finite-impulse filter (FIR)
keyword Z-transform
keyword ultrasound images
keyword noise
author (primary)
ARLID cav_un_auth*0347018
name1 Honarvar Shakibaei Asli
name2 Barmak
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
country MY
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101087
name1 Flusser
name2 Jan
institution UTIA-B
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0293042
name1 Zhao
name2 Y.
country GB
author
ARLID cav_un_auth*0377796
name1 Erkoyuncu
name2 J. A.
country GB
author
ARLID cav_un_auth*0394705
name1 Krishnan
name2 K. B.
country IN
author
ARLID cav_un_auth*0394706
name1 Farrokhi
name2 Y.
country IR
author
ARLID cav_un_auth*0394707
name1 Roy
name2 A. R.
country GB
source
url http://library.utia.cas.cz/separaty/2020/ZOI/honarvar-0531609.pdf
source
url https://ieeexplore.ieee.org/document/9149615
cas_special
project
project_id GA18-07247S
agency GA ČR
ARLID cav_un_auth*0360229
project
project_id GJ18-26018Y
agency GA ČR
ARLID cav_un_auth*0360230
abstract (eng) 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.
result_subspec WOS
RIV JD
FORD0 20000
FORD1 20200
FORD2 20206
reportyear 2021
num_of_auth 7
mrcbC52 4 A sml 4as 20231122145047.1
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0310650
confidential S
contract
name Creative Commons Attribution License
date 20200723
mrcbC86 3+4 Article Computer Science Information Systems|Engineering Electrical Electronic|Telecommunications
mrcbC91 A
mrcbT16-e COMPUTERSCIENCEINFORMATIONSYSTEMS|ENGINEERINGELECTRICALELECTRONIC|TELECOMMUNICATIONS
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mrcbT16-j 0.592
mrcbT16-s 0.587
mrcbT16-B 52.4
mrcbT16-D Q2
mrcbT16-E Q2
arlyear 2020
mrcbTft \nSoubory v repozitáři: honarvar-0531609-CopyrightReceipt3.pdf
mrcbU14 85089936159 SCOPUS
mrcbU24 PUBMED
mrcbU34 000560650400001 WOS
mrcbU63 cav_un_epca*0461036 IEEE Access 2169-3536 2169-3536 Roč. 8 č. 1 2020 141342 141357 Institute of Electrical and Electronics Engineers