| project |
| ARLID |
cav_un_auth*0285028 |
| project_id |
GAP103/12/2211 |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0340368 |
| project_id |
FP7-ICT-2011.8.2 ICT |
| agency |
EC |
| country |
IT |
|
| abstract
(eng) |
Near Infrared (NIR) reflectography, coupled to visible (VIS) one, is a spectrophotometric imaging technique employed to probe both the inner and the outer layers of artworks. NIR reflectograms may partially contain information pertinent to the visible spectrum (due to the poor pigment transparency in NIR) and this decreases their comprehensibility. This work presents an innovative digital processing methodology for accentuating information contained in the infrared reflectograms. The proposed method consists of inducing minor changes in pixel intensity by suppressing VIS information content from NIR information content. The method creates such enhanced NIR reflectogram by extrapolating VIS reflectogram to a reflectogram recorded in NIR range and by subtracting it from the measured values in the near infrared spectral sub-band. As an extrapolator we suggest a feed forward artificial neural network (ANN). Significant results of improved visualization are exemplified on reflectograms acquired with a VIS-NIR 〈400,2250〉 nm〈400,2250〉 nm scanning device on real paintings such as Madonna dei Fusi attributed to Leonardo da Vinci. Parameters of the method, artificial neural network and separability of used pigments are discussed. |
| RIV |
JC |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2017 |
| num_of_auth |
4 |
| mrcbC52 |
4 A hod 4ah 20231122142146.0 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0267806 |
| mrcbC62 |
1 |
| cooperation |
| ARLID |
cav_un_auth*0340369 |
| name |
National Institute of Optics |
| institution |
INO |
| country |
IT |
|
| mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/17:00468355!RIV17-AV0-67985556 191870809 doplneni OECD UTIA-B |
| mrcbC83 |
RIV/67985556:_____/17:00468355!RIV17-GA0-67985556 191876839 doplneni OECD UTIA-B |
| mrcbC86 |
3+4 Article Engineering Electrical Electronic |
| mrcbC86 |
3+4 Article Engineering Electrical Electronic |
| mrcbC86 |
3+4 Article Engineering Electrical Electronic |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC |
| mrcbT16-j |
0.52 |
| mrcbT16-s |
0.550 |
| mrcbT16-B |
42.989 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2017 |
| mrcbTft |
\nSoubory v repozitáři: zitova-0468355.pdf |
| mrcbU14 |
84991201811 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000389784400014 WOS |
| mrcbU63 |
cav_un_epca*0252719 Digital Signal Processing 1051-2004 1095-4333 Roč. 60 č. 1 2017 140 151 Elsevier |