| bibtype |
J -
Journal Article
|
| ARLID |
0522296 |
| utime |
20240103223744.9 |
| mtime |
20200219235959.9 |
| SCOPUS |
85079542036 |
| WOS |
000521117800031 |
| DOI |
10.1016/j.sigpro.2020.107509 |
| title
(primary) (eng) |
Fractional Charlier Moments for Image Reconstruction and Image Watermarking |
| specification |
| page_count |
15 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0255076 |
| ISSN |
0165-1684 |
| title
|
Signal Processing |
| volume_id |
171 |
| publisher |
|
|
| keyword |
Discrete Orthogonal Moments |
| keyword |
Fractional Charlier Moments |
| keyword |
Fractional Charlier Polynomials |
| keyword |
Spectral decomposition |
| keyword |
Image reconstruction |
| keyword |
Image watermarking |
| author
(primary) |
| ARLID |
cav_un_auth*0389707 |
| name1 |
Yamni |
| name2 |
M. |
| country |
MA |
|
| author
|
| ARLID |
cav_un_auth*0389708 |
| name1 |
Daoui |
| name2 |
A. |
| country |
MA |
|
| author
|
| ARLID |
cav_un_auth*0389709 |
| name1 |
El ogri |
| name2 |
O. |
| country |
MA |
|
| author
|
| ARLID |
cav_un_auth*0389710 |
| name1 |
Karmouni |
| name2 |
H. |
| country |
MA |
|
| author
|
| ARLID |
cav_un_auth*0389711 |
| name1 |
Sayyouri |
| name2 |
M. |
| country |
MA |
|
| author
|
| ARLID |
cav_un_auth*0389712 |
| name1 |
Qjidaa |
| name2 |
H. |
| country |
MA |
|
| 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. |
|
| source |
|
| source |
|
| cas_special |
| project |
| project_id |
GA18-07247S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0360229 |
|
| abstract
(eng) |
In this paper, we propose a new set of discrete orthogonal polynomials called fractional Charlier polynomials (FrCPs). This new set will be used as a basic function to define the fractional discrete orthogonal Charlier moments (FrCMs). The proposed FrCPs are derived algebraically using the spectral decomposition of Charlier polynomials (CPs), then the Lagrange interpolation formula is used to derive the spectral projectors. Then, each spectral projector matrix is decomposed by the singular value decomposition (SVD) technique in order to build a basic set of orthonormal eigenvectors which help to develop FrCPs. FrCMs are deduced in matrix form from the proposed FrCPs and are applied for image reconstruction and watermarking. The experimental results show the capacity of the FrCMs proposed for image reconstruction and image watermarking against different attacks such as noise and geometric distortions. |
| result_subspec |
WOS |
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2021 |
| num_of_auth |
7 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0307359 |
| mrcbC61 |
1 |
| confidential |
S |
| article_num |
107529 |
| mrcbC86 |
1* Article Engineering Electrical Electronic |
| mrcbC91 |
C |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-i |
3.63946 |
| mrcbT16-j |
0.964 |
| mrcbT16-s |
0.907 |
| mrcbT16-B |
78.831 |
| mrcbT16-D |
Q1 |
| mrcbT16-E |
Q2 |
| arlyear |
2020 |
| mrcbU14 |
85079542036 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000521117800031 WOS |
| mrcbU63 |
cav_un_epca*0255076 Signal Processing 0165-1684 1872-7557 Roč. 171 č. 1 2020 Elsevier |
|