The optical properties of varnishes and their effects on image quality

Similar documents
A prototype calibration target for spectral imaging

Evaluating a Camera for Archiving Cultural Heritage

Texture characterization in DIRSIG

Imaging Fourier transform spectrometer

Modifications of a sinarback 54 digital camera for spectral and high-accuracy colorimetric imaging: simulations and experiments

Historical radiometric calibration of Landsat 5

Noise reduction in digital images

Munsell Color Science Laboratory Technical Report. Direct Digital Imaging of Vincent van Gogh s Self-Portrait A Personal View

Image Quality of a Multiple-Pass Optical Contrast Enhancement Technique

Capturing the Color of Black and White

Multispectral Imaging

Spectral reproduction from scene to hardcopy

Migration from Contrast Transfer Function to ISO Spatial Frequency Response

The Quality of Appearance

Refined Slanted-Edge Measurement for Practical Camera and Scanner Testing

Experimental study of colorant scattering properties when printed on transparent media

Color Reproduction. Chapter 6

Spectro-Densitometers: Versatile Color Measurement Instruments for Printers

A Study of Slanted-Edge MTF Stability and Repeatability

The Technology of Duotone Color Transformations in a Color Managed Workflow

Determination of the MTF of JPEG Compression Using the ISO Spatial Frequency Response Plug-in.

Visibility of Uncorrelated Image Noise

Technical Report. A New Encoding System for Image Archiving of Cultural Heritage: ETRGB Roy S. Berns and Maxim Derhak

EECS490: Digital Image Processing. Lecture #12

Technical Report. Evaluating Solid State and Tungsten- Halogen Lighting for Imaging Artwork via Computer Simulation Roy S. Berns

COLOR APPEARANCE IN IMAGE DISPLAYS

Munsell Color Science Laboratory Publications Related to Art Spectral Imaging

Color Reproduction Algorithms and Intent

ISO INTERNATIONAL STANDARD. Photography Electronic scanners for photographic images Dynamic range measurements

Sampling Efficiency in Digital Camera Performance Standards

Mark D. Fairchild and Garrett M. Johnson Munsell Color Science Laboratory, Center for Imaging Science Rochester Institute of Technology, Rochester NY

Measurement of Texture Loss for JPEG 2000 Compression Peter D. Burns and Don Williams* Burns Digital Imaging and *Image Science Associates

Practical Scanner Tests Based on OECF and SFR Measurements

Quantifying mixed adaptation in cross-media color reproduction

White Paper. Reflective Color Sensing with Avago Technologies RGB Color Sensor. Reflective Sensing System Hardware Design Considerations

WORKSHOP. Fiber Optic Reflectance Spectrometry for pigments identification in paintings. Marco Gargano Department of Physics

The Necessary Resolution to Zoom and Crop Hardcopy Images

Colorimetry vs. Densitometry in the Selection of Ink-jet Colorants

ABSTRACT. Keywords: Color image differences, image appearance, image quality, vision modeling 1. INTRODUCTION

Quantitative Analysis of ICC Profile Quality for Scanners

ISO INTERNATIONAL STANDARD. Photography Electronic still-picture cameras Resolution measurements

Using HDR display technology and color appearance modeling to create display color gamuts that exceed the spectrum locus

T 519 om-96 SUGGESTED METHOD 1970 OFFICIAL STANDARD 1978 OFFICIAL TEST METHOD 1980 REVISED 1986 REVISED 1991 REVISED TAPPI

Viewing Environments for Cross-Media Image Comparisons

Camera Resolution and Distortion: Advanced Edge Fitting

A Step-wise Approach for Color Matching Material that Contains Effect Pigments. Dr. Breeze Briggs, BASF Colors & Effects USA LLC, ANTEC 2017

Comparative study of spectral reflectance estimation based on broad-band imaging systems

On Contrast Sensitivity in an Image Difference Model

The Perceived Image Quality of Reduced Color Depth Images

Art, Archaeology & Analysis March 10, 2003 Alison Shull Dept. of Materials Science & Engineering

An investigation of the Continuous Tone Value

A simulation tool for evaluating digital camera image quality

Colour analysis of inhomogeneous stains on textile using flatbed scanning and image analysis

ISO INTERNATIONAL STANDARD. Photography Electronic still-picture cameras Methods for measuring optoelectronic conversion functions (OECFs)

On Contrast Sensitivity in an Image Difference Model

EASTMAN EXR 200T Film / 5293, 7293

KODAK VISION Expression 500T Color Negative Film / 5284, 7284

Color appearance in image displays

Parameters of Image Quality

Color Science. What light is. Measuring light. CS 4620 Lecture 15. Salient property is the spectral power distribution (SPD)

Using Color Appearance Models in Device-Independent Color Imaging. R. I. T Munsell Color Science Laboratory

Defense Technical Information Center Compilation Part Notice

Automated Print Quality Analysis in Inkjet Printing: Case Study Using Commercially Available Media

The Journal of. Imaging Science. Reprinted from Vol. 48, The Society for Imaging Science and Technology

Color. Fredo Durand Many slides by Victor Ostromoukhov. Color Vision 1

Edge-Raggedness Evaluation Using Slanted-Edge Analysis

APPLICATIONS FOR TELECENTRIC LIGHTING

Color Computer Vision Spring 2018, Lecture 15

CRISATEL High Resolution Multispectral System

CIE tri-stimulus experiment. Color Value Functions. CIE 1931 Standard. Color. Diagram. Color light intensity for visual color match

COLOR IMAGE QUALITY EVALUATION USING GRAYSCALE METRICS IN CIELAB COLOR SPACE

Adapted from the Slides by Dr. Mike Bailey at Oregon State University

Photometric Colorimetry

Simulation of film media in motion picture production using a digital still camera

Design of the Diffuse Optical Tomography Device

Meet icam: A Next-Generation Color Appearance Model

SIM University Color, Brightness, Contrast, Smear Reduction and Latency. Stuart Nicholson Program Architect, VE.

Color , , Computational Photography Fall 2018, Lecture 7

Multiscale model of Adaptation, Spatial Vision and Color Appearance

Colour Management Workflow

Color , , Computational Photography Fall 2017, Lecture 11

CSE 332/564: Visualization. Fundamentals of Color. Perception of Light Intensity. Computer Science Department Stony Brook University

Multi-spectral Image Acquisition and Spectral Reconstruction using a Trichromatic Digital. Camera System associated with absorption filters

Implementing Process Color Printing by Colorimetry

ISO INTERNATIONAL STANDARD. Photography Electronic still-picture cameras Methods for measuring opto-electronic conversion functions (OECFs)

Diffuse opacity of paper (d/0 paper backing) (Revision of T 519 om-02)

Instant strip photography

H10: Description of Colour

Automated Spectral Image Measurement Software

ISO INTERNATIONAL STANDARD. Photography Electronic scanners for photographic images Dynamic range measurements

The future of the broadloom inspection

Color Correction in Color Imaging

To discuss. Color Science Color Models in image. Computer Graphics 2

Investigations of the display white point on the perceived image quality

Quantitative Analysis of Tone Value Reproduction Limits

Running head: AN ANALYSIS OF ILLUMINANT METAMERISM FOR LITHOGRAPHIC SUBSTRATES AND TONE REPRODUCTION 1

The White Paper: Considerations for Choosing White Point Chromaticity for Digital Cinema

The Quantitative Aspects of Color Rendering for Memory Colors

Evaluation of a modified sinar 54M digital camera at the National Gallery of Art, Washington DC during April, 2005

EASTMAN TRI-X Reversal Film 7278

Transcription:

Rochester Institute of Technology RIT Scholar Works Theses Thesis/Dissertation Collections 2001 The optical properties of varnishes and their effects on image quality Collin Day Follow this and additional works at: http://scholarworks.rit.edu/theses Recommended Citation Day, Collin, "The optical properties of varnishes and their effects on image quality" (2001). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by the Thesis/Dissertation Collections at RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact ritscholarworks@rit.edu.

SIMG 503 Senior Research The Optical Properties of Varnishes and their Effects on Image Quality Collin Day Chester F. Carlson Center for Imaging Science Rochester Institute of Technology May 2001 TABLE OF CONTENTS

The Optical Properties of Varnishes and their Effects on Image Quality Collin Day Table of Contents Abstract Copyright Acknowledgments Background Theory Methods Results Discussion Conclusion References Appendix <>

Abstract Varnishes have been used to alter the appearance of paintings throughout history. Most significantly, they help to level the surface of the painting and reduce the first-surface diffuse scattering of light. This scattering makes a painting appear desaturated and gives it a much lower contrast. Traditionally, varnishes have been made from natural sources, such as tree resins. Over time these varnishes will dull and add a yellow cast. Also, the repeated cleaning and reapplication may hasten the deterioration of the painting, making the choice of varnish crucial in order to restore the painting to its original appearance and retain this appearance over time. Currently, new synthetic varnishes are being used, but they do not always result in the same appearance as natural varnishes. There is currently a need to assess the various optical properties of synthetic varnishes to help determine the effects they will have on paintings that they may be applied to. This research evaluated the spatial and colorimetric properties of Union Carbide AYAT PVA and Hercules Regalrez varnishes. Table of Contents >

Copyright 2001 Center for Imaging Science Rochester Institute of Technology Rochester, NY 14623-5604 This work is copyrighted and may not be reproduced in whole or part without permission of the Center for Imaging Science at the Rochester Institute of Technology. This report is accepted in partial fulfillment of the requirements of the course SIMG-503 Senior Research. Title: The Optical Properties of Varnishes and their Effects on Image Quality Author: David Collin Day Project Advisor: Roy S. Berns SIMG 503 Instructor: Tony Vodacek < Table of Contents >

Acknowledgments I would like to thank my advisor, Roy S. Berns for all his help and guidance. I would also like to thank Peter Burns, members of the Munsell Color Science Labratory and everyone else who gave me a hand. < Table of Contents >

Background Varnishes have been used to help artists change the appearance of paintings and achieve certain aesthetic goals as well as create a protective layer over the painting. Oil-based varnishes have been mentioned in manuscripts dating as far back as to the eleventh century, but became particularly popular during the Renaissance. Initially, varnishes were often made from natural resins, such as rosin or mastic, and then combined with a drying oil, such as walnut or linseed[1]. Oil varnishes were later replaced by spirit varnishes," which were varnishes made of the same types of resins, but now added to a solvent of turpentine [1]. Both oil and spirit varnishes have problems associated with their use. For example, oil varnishes turn yellow or brown over time, thus changing the overall appearance of colors underneath. Oil varnishes become insoluble which is caused by cross-linking. Although spirit varnishes have the same drawbacks, they remain soluble over time, but in order to remove and replace them, solvents stronger than the varnish itself must be used. These solvents can cause leaching and eventually destroy the underlying painting. Because of the aforementioned drawbacks, it has become necessary to identify varnishes with properties that emulate natural varnishes in order to remain true to the artist's vision. It is also important that they remain stable and last for a much longer period of time. This will reduce the need for cleaning and reapplication, which ultimately leads to better conservation of the painting. Currently, there are several different synthetic and natural resins being used. These include Dammar, Mastic,chemically reduced ketone resins, and hydrogenated hydrocarbon resins. Each results in a different appearance caused by the differences in refractive index and molecular weight. It has been found that varnishes with a higher refractive index and low molecular weight provide more desirable results [1]. < Table of Contents >

Theory Function of Varnishes In order to understand how the surface properties affect the visual appearance of paintings, consider the following diagrams that show the path of the light caused by a varnish. In the first diagram, the varnish is smooth and the light reflecting at the angle opposite the angle of incidence is considered to be specular reflection [2]. In figure 2, the varnish is no longer smooth and the light is no longer reflecting in the specular direction. Instead, it is scattered in many directions, thus making the light more diffuse, reducing the gloss and apparent chroma of colors within the painting. Research on the various optical properties of various varnishes is particularly useful to individuals involved in conservation science. It is useful to have an idea of how a particular varnish will affect a painting before it is applied. A conservator who has an idea of the response of a particular varnish and knows the material of the painting will be able to safely apply an appropriate varnish that will restore its original appearance and minimize leaching due to application and later removal. Spatial Analysis Generally, the apparent sharpness of an image is a subjective quality. Over the years, objective measurements of sharpness have been created.

For this experiment, the Cascade Modular Transfer (CMT) Acutance, proposed by Gendron[5], was used. This procedure follows the understanding that a system modulation transfer function (MTF) is simply the cascade or multiplication of the system component MTF's. In order to assign a usable metric to the varnish, the Spatial Frequency Response (SFR) of the system from the PIMA Image Analyzer was used[pima Reference Here]. The SFR has been proven to be an analagous metric to the MTF[4]. The varnish SFR was then isolated and used in the CMT measurement. Colorimetric Analysis The effect of a varnish can be determined by using appropriate color difference equations. In order to obtain these data without performing direct contact measurements, it was decided that colorimetric data could be derived through image information. By optically obtaining these measurements, a better simulation of viewing conditions could be achieved, making the overall simulation more realistic. < Table of Contents >

Methods Varnish Mixture The Regalrez and PVA were chosen for the difference in molecular weight between the two. The PVA has a much higher molecular weight than the Regalrez. The Regalrez was mixed 1 to 1 ratio with paint thinner by weight. The PVA was mixed 1 part PVA to three parts Arcosolv PM solution. These mixtures attempt to take the difference in molecular weight into account so that when each layer dries, the layers will be of an equal thickness. Target Creation It was necessary to create test targets to which the varnish could be applied because a major idea behind this experiment is that the data be taken from reflection objects. For the spatail analysis, slant edge targets were made by applying a layer of matte white to a smooth card and then an edge of approximatley five degrees from normal was made with black paint. The target for the colorimetric analysis was made from Sherwin Williams latex house paint, chosen for its dark colors and matte properties, applied to a regular canvas. Varnish was applied to the targets using a.003 inch draw-down bar. These methods were chosen to help simulate actual working conditions. Image Acquisition In order to image the targets, an IBM Pro 3000 camera was used. This camera is a line scan camera that generates a 12-bit image per color channel. Colorimetric Evaluation The first step in the colormetric evaluation was to determine the actual X, Y, and Z values of the Gretag Macbeth ColorChecker Color Rendition Chart being used. This was done by integrating the spectral reflectance of each patch with the spectral output of the lamps illuminating the target and the CIE color matching functions for the 1931 two degrees standard observer and then multiplying by a normalization constant. This integration was performed over an interval of 380nm to 730nm at 10 nm steps. The following

equations were used: = 10nm where S l is the spectral output of the source illumination, R l is the spectral reflectance, and x,y,and z bar are the appropriate CIE color matching function. The next step was to determine the values which would linearize the digital counts of the camera. This was done by applying the following gain gamma-offset equation to the digital counts given by the camera and then minimizing the RMS tristimulus error of the linearized digital counts of the Macbeth grayscale. where R=raw digital count, B=max digital count (2^bit depth 1), G=gain. These values were then used to generate a 3x9 pseudo inverse matrix that could be used to transform linear digital counts to CIE XYZ space. Third, the XYZ values of the unvarnished and varnished color target were found. These values were then converted to CIE L*a*b* space and the color difference can be found using the following equations:

where the unvarnished target was the standard and the varnished target was used as the measured. Spatial Evaluation In order to evaluate the SFR of the slant edge targets with the Image Analyzer plug in, the 12 bit camera data had to be converted to 8 bit and a new lookup table for the plug in had to be created. This was necessary because the plug in was designed only to accept 8 bit input. After this was done, the image s SFRs were found in the green (luminance) channel. The CMT Acutance of the varnished and unvarnished target for each specific resin was then computed. Then, the human Contrast Sensitivity Function was generated using the following equation proposed by

Mannos and Sakrison[6] for its ease of analysis. f = frequency in cycles per degree In order to assign a quantitative number to the varnish, these curves are converted to cycles per millimeter, multiplied point by point and integrated. This yields the CMT Acutance. For the CMT Acutance, a range of 0 to 9 cycles per millimeter was used. Anything outside this was considered noise. < Table of Contents >

Results The colorimetric evaluation showed that RegalRez varnish did in fact improve color saturation. The following graph is a vector plot of the beginning and ending a* and b* for each color patch, comparing the unvarnished color target with the varnished color target. The arrows radiate out from the center and there is almost an equal change in both a* and b*, which is analogous to an increase in chroma. The spatial response analysis did not show a significant difference between the PVA or Regalrez.. The target used with the Regalrez had a CMT of 29.7 unvarnished and a CMT of 27.8 varnished. The target used with the PVA had a CMT of 29.7 unvarnished and a CMT of 28.2 varnished. These values show no significant difference between the varnishes and also show that the varnish actually decreased the spatial response. sample SFR target < Table of Contents >

Discussion The colorimetric evaluation yielded the type of results that were expected. It is apparent that the Regalrez varnish did help level the rough surface of the painting, which reduced the scattering of the light incident on the target. The SFR analysis did not yield the expected results. The two varnishes for this experiment were chosen because of their difference in molecular weight. It was expected that the PVA, whose molecular weight is much higher than the Regalrez varnish, would show a significantly lower CMT Acutance result. Instead, they only differed by.3. Currently, it is thought that the varnishes were applied too thickly on the targets, thus making both varnishes to appear to behave in the same manner. It is necessary to devise a way to consistently apply the varnish in a much thinner layer. Another unexpected result that was noticed was that the varnished target had a worse SFR than the unvarnished target. This conflicts with the idea that the varnish decreases the scattering of light, which would ultimately increase resolution. The methods used for the colorimetric analysis seemed to be quite acceptable. They were consistent with qualitative observations. Because the method for spatial frequency analysis is a rather new idea, there are many aspects that could be altered to try and achieve better results. First, there was the before mentioned varnish thickness and concentration of varnishes in solution. These could both be reduced to produce a much thinner layer of varnish that may lead to better results. Also, the viewing distance of the camera could be made closer to the target. Because the variations that are being looked for are very subtle, they might be somewhat pronounced if the image area of the slant edge target was

enlarged. < Table of Contents >

Conclusion Based on the results of the colorimetric analysis, the methods used are effective and can be used to evaluate the effect the varnish will have on the painting with respect to color change. The methods used for evaluating the SFR of the varnish needs to be improved. An analysis using this method may still be viable, but changes need to be made to the process and weaknesses need to be found. Further work should include determining the proper concentration of the varnish, the proper thickness, the height of the camera, etc. Once these parameters are found, an analysis using these methods may be used. Finally, further work should also involve a record of the effect that cleaning and reapplication of the varnish multiple times may have on the painting and the spatial frequency response. These data could also prove to be useful to individuals who routinely use varnishes, such as painters and conservators. < Table of Contents >

References Cited 1. de la Rie, E.R., "The Influence of Varnishes on the Appearance of Paintings," Studies in Conservation 32 (1987) 1-13. 2. Berns, Roy S. and E.R. de la Rie, "Exploring the Optical Properties of Varnishes for Paintings Using Image Analysis" 3. Berns, Roy S., Billmeyer and Saltzman's Principles of Color Technology 3rd Ed., John Wiley & Sons, Inc., NY, 2000 4. Burns, Peter D., "Slant-Edge MTF for Digital Camera and Scanner Analysis," Proc. IS&T PICS Confrence (2000) 135-138 5. Gendron, R.G., "An Improved Objective Method for Rating Picture Sharpness: CMT Acutance," Journal of the SMPTE 82 (1973) 1009-1012 6. J. L. Mannos, D. J. Sakrison, ``The Effects of a Visual Fidelity Criterion on the Encoding of Images'', IEEE Transactions on Information Theory Vol. 20, No 4, (1974) 525-535 < Table of Contents >

Appendix datagathering16mw.pro - file which collects digital counts calibrate.pro - file which takes information about a standard and generates the color transform matrix MTF_prep.pro - Converts file to 8 bit for MTF / SFR analysis CMT_calc.pro - Calculates CMT acutance colorimetry.pro - Calculates various colorimetric values < Table of Contents