The Application of Microfadeometric Testing to Mounted Photographs at the Indianapolis Museum of Art

Columbia, M.R.; Smith, George Davidson; Hoevel, Carlos; Messier, Paul

doi:10.1017/s1431927613009057

Cited by 9 publications

(8 citation statements)

References 1 publication

(1 reference statement)

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“…Microfade testing allows for real-time monitoring of spectral changes of a small area (diameter of 0.5 mm) of a cultural heritage object by exposing it to light. This method was developed by Whitmore and others [14,15] and has been extensively used to study the lightfastness of cultural objects [40][41][42]. In this practical case, we sought to evaluate and document the degree of color fading over time and space on rock art paintings located in Cova Remigia rock-shelter (in Ares del Maestrat, Castellón, Spain) caused by direct solar irradiation.…”

Section: Case Study and Data Descriptionmentioning

confidence: 99%

Correlated Functional Models with Derivative Information for Modeling Microfading Spectrometry Data on Rock Art Paintings

et al. 2020

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Rock art paintings present high sensitivity to light, and an exhaustive evaluation of the potential color degradation effects is essential for further conservation and preservation actions on these rock art systems. Microfading spectrometry (MFS) is a technique that provides time series of stochastic observations that represent color fading over time at the measured points on the surface under study. In this work, a reliable and robust modeling framework for a short and greatly fluctuating observation dataset collected over the surfaces of rock art paintings located on the walls of Cova Remigia in Ares del Maestrat, Castellón, Spain, is presented. The model is based on a spatially correlated spline-based time series model that takes into account prior information in the form of model derivatives to guarantee monotonicity and long-term saturation for predictions of new color fading estimates at unobserved locations on the surface. The correlation among the (spatially located) time series is modeled by defining Gaussian process (GP) priors over the spline coefficients across time series. The goal is to obtain a complete spatio-temporal mapping of color fading estimates for the study area, which results in very important and useful information that will potentially serve to create better policies and guidelines for heritage preservation and sustainable rock art cultural tourism.

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Section: Case Study and Data Descriptionmentioning

confidence: 99%

Correlated Functional Models with Derivative Information for Modeling Microfading Spectrometry Data on Rock Art Paintings

et al. 2020

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“…The MFS technique allows for real time monitoring of spectral changes of a small area (diameter of 0.5 mm) of a cultural heritage object by exposing it to light. This method was developed by Whitmore et al [2000Whitmore et al [ , 1999 and has been extensively used to study the lightfastness of cultural objects [Columbia et al, 2013, Ford, 2011, Ford and Druzik, 2013.…”

Section: Data Descriptionmentioning

confidence: 99%

Correlated functional models with derivative information for modeling MFS data on rock art paintings

Riutort-Mayol¹,

Gómez‐Rubio²,

Lerma³

et al. 2019

Preprint

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Microfading Spectrometry (MFS) is a method for assessing light sensitivity color (spectral) variations of cultural heritage objects. Each measured point on the surface gives rise to a time-series of stochastic observations that represents color fading over time. Color degradation is expected to be non-decreasing as a function of time and stabilize eventually. These properties can be expressed in terms of the derivatives of the functions. In this work, we propose spatially correlated splines-based time-varying functions and their derivatives for modeling and predicting MFS data collected on the surface of rock art paintings. The correlation among the splines models is modeled using Gaussian process priors over the spline coefficients across time-series. A multivariate covariance function in a Gaussian process allows the use of trichromatic image color variables jointly with spatial locations as inputs to evaluate the correlation among time-series, and demonstrated the colorimetric variables as useful for predicting new color fading time-series. Furthermore, modeling the derivative of the model and its sign demonstrated to be beneficial in terms of both predictive performance and application-specific interpretability.

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“…Microfading testing (MFT) has provided a new way of conducting non-destructive evaluation of the light sensitivity of cultural heritage objects over the last two decades [1][2][3][4][5][6][7][8]. This is due to the small spot size employed, which permits to evaluate the durability of materials causing no harm to the object.…”

Section: Introductionmentioning

confidence: 99%

A multi-method approach for beam characterization of microfading testers used in cultural heritage conservation science

Świt¹,

Gargano²,

Hoyo‐Meléndez³

2021

Preprint

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Microfading testers have become widely accepted by the conservation science community for establishing and recommending appropriate lighting conditions that minimize damage to collections. These devices offer the opportunity of measuring the photostability of cultural heritage objects due to their optical setup, which allows to conduct and quantify accelerated photoaging over a spot of approximately 0.5 mm. Also, by using a high sensitivity photodetector it is possible to measure spectrocolorimetric change before it is perceived by the human eye. Although a considerable amount of testing is currently performed with these instruments, there are still safety concerns in terms of possible damage to the objects due to the use of a high intensity spot during testing. Nevertheless microfadeometry is widely considered a nondestructive technique. The advantages and disadvantages of several methods used to determine the beam shape and intensity profiles are described with the aim of providing various options to microfading researchers interested in characterizing their irradiation spots. Conventional and imaging methods were employed and are compared in terms of their accuracy, cost, reliability, and technical features. It has been found that both methods provide beam width measurements in satisfactory agreement within experimental error.

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The Application of Microfadeometric Testing to Mounted Photographs at the Indianapolis Museum of Art

Abstract: Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.

Cited by 9 publications

References 1 publication

Correlated Functional Models with Derivative Information for Modeling Microfading Spectrometry Data on Rock Art Paintings

Correlated Functional Models with Derivative Information for Modeling Microfading Spectrometry Data on Rock Art Paintings

Correlated functional models with derivative information for modeling MFS data on rock art paintings

A multi-method approach for beam characterization of microfading testers used in cultural heritage conservation science

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