Improvement of the visibility of concealed features in artwork NIR reflectograms by information separation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00468355" target="_blank" >RIV/67985556:_____/17:00468355 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.dsp.2016.09.007" target="_blank" >http://dx.doi.org/10.1016/j.dsp.2016.09.007</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.dsp.2016.09.007" target="_blank" >10.1016/j.dsp.2016.09.007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Improvement of the visibility of concealed features in artwork NIR reflectograms by information separation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Improvement of the visibility of concealed features in artwork NIR reflectograms by information separation

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GAP103%2F12%2F2211" target="_blank" >GAP103/12/2211: Zpracování multimodálních obrazových dat založené na matematických modelech optických vlastností barviv a jejich použití pro studium uměleckých děl</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Digital Signal Processing

ISSN

1051-2004

e-ISSN

—

Svazek periodika

60

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

140-151

Kód UT WoS článku

000389784400014

EID výsledku v databázi Scopus

2-s2.0-84991201811