| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0541854 |
| utime |
20240103225721.8 |
| mtime |
20210420235959.9 |
| title
(primary) (eng) |
DCT/IDCT Filter Design for Ultrasound Image Filtering |
| specification |
| page_count |
8 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0541901 |
| ISBN |
978-1-7281-8808-9 |
| title
|
Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020) |
| page_num |
1804-1811 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2021 |
|
|
| keyword |
convolution model of discrete cosine |
| keyword |
finite impulse response |
| keyword |
inverse DCT |
| 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*0408436 |
| name1 |
Zhao |
| name2 |
Y. |
| country |
GB |
|
| author
|
| ARLID |
cav_un_auth*0408435 |
| name1 |
Erkoyuncu |
| name2 |
J. A. |
| country |
GB |
|
| author
|
| ARLID |
cav_un_auth*0408437 |
| name1 |
Roy |
| name2 |
R. |
| country |
GB |
|
| source |
|
| 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 others. The image filtering and reconstruction performance of the proposed approach on ultrasound images are presented to validate the theoretical framework. |
| action |
| ARLID |
cav_un_auth*0408438 |
| name |
International Conference on Pattern Recognition (ICPR 2020) /25./ |
| dates |
20210110 |
| mrcbC20-s |
20210115 |
| place |
Milano |
| country |
IT |
|
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2022 |
| num_of_auth |
5 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0319397 |
| confidential |
S |
| arlyear |
2021 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
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 |
|