bibtype |
J -
Journal Article
|
ARLID |
0489046 |
utime |
20240103215928.2 |
mtime |
20180419235959.9 |
SCOPUS |
85046457121 |
WOS |
000434949200021 |
DOI |
10.1002/anie.201800624 |
title
(primary) (eng) |
Spectral imaging and archival data in analyzing the Madonna of the Rabbit painting by Manet and Titian |
specification |
page_count |
6 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0256115 |
ISSN |
1433-7851 |
title
|
Angewandte Chemie - International Edition |
volume_id |
57 |
volume |
25 (2018) |
page_num |
7408-7412 |
publisher |
|
|
keyword |
spectral mapping |
keyword |
image processing |
keyword |
visible near-infrared multispectral scanner |
author
(primary) |
ARLID |
cav_un_auth*0340366 |
name1 |
Striová |
name2 |
J. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0360144 |
name1 |
Ruberto |
name2 |
C. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0360145 |
name1 |
Barucci |
name2 |
M. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0254045 |
name1 |
Blažek |
name2 |
Jan |
full_dept (cz) |
Zpracování obrazové informace |
full_dept |
Department of Image Processing |
department (cz) |
ZOI |
department |
ZOI |
institution |
UTIA-B |
full_dept |
Department of Image Processing |
country |
CZ |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0360146 |
name1 |
Kunzelman |
name2 |
D. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0360147 |
name1 |
Dal Fovo |
name2 |
A. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0360148 |
name1 |
Pampaloni |
name2 |
E. |
country |
IT |
|
author
|
ARLID |
cav_un_auth*0340367 |
name1 |
Fontana |
name2 |
R. |
country |
IT |
|
source |
|
cas_special |
abstract
(eng) |
A concise insight into the outputs provided by the latest prototype of visible‐near infrared (VIS‐NIR) multispectral scanner (National Research Council‐National Institute of Optics, CNR‐INO, Italy) is presented. The analytical data acquired on an oil painting Madonna of the Rabbit by E. Manet are described. In this work, the VIS‐NIR data were complemented with X‐ray fluorescence (XRF) mapping for the chemical and spatial characterization of several pigments. The spatially registered VIS‐NIR data facilitated their processing with spectral correlation mapping (SCM) and artificial neural network (ANN) algorithm respectively for pigment mapping and improved visibility of pentimenti and of underdrawing style. The data provided several key elements for the comparison with a homonymous original work by Titian studied within the ARCHive LABoratory (ARCHLAB) transnational access project. |
result_subspec |
WOS |
RIV |
JC |
FORD0 |
10000 |
FORD1 |
10200 |
FORD2 |
10201 |
reportyear |
2019 |
num_of_auth |
8 |
mrcbC52 |
4 A hod 4ah 20231122143135.4 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0283536 |
mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS |
confidential |
S |
mrcbC86 |
2 Article Chemistry Multidisciplinary |
mrcbT16-e |
CHEMISTRYMULTIDISCIPLINARY |
mrcbT16-j |
3.243 |
mrcbT16-s |
5.478 |
mrcbT16-B |
84.833 |
mrcbT16-D |
Q1 |
mrcbT16-E |
Q1* |
arlyear |
2018 |
mrcbTft |
\nSoubory v repozitáři: blazek-0489046.pdf |
mrcbU14 |
85046457121 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000434949200021 WOS |
mrcbU63 |
cav_un_epca*0256115 Angewandte Chemie - International Edition 1433-7851 1521-3773 Roč. 57 č. 25 2018 7408 7412 Wiley |
|