The Ideal Lovibond Color System for C I E Standard Illuminants a and C Shown in Three Colorimetric Systems

Total Page:16

File Type:pdf, Size:1020Kb

The Ideal Lovibond Color System for C I E Standard Illuminants a and C Shown in Three Colorimetric Systems E lEFERENCi UNITED STATES \ EPARTMENT OF iOMMERCE NBS TECHNICAL NOTE 716 UBUCATION ir J V s **rts o* w The Ideal Lovibond Color System for CI Standard llluminants A and C Shown in Three U.S. RTMENT Colorimetric Systems OF )MMERCE National n , loo J0S153 197a LaJ NATIONAL BUREAU OF STANDARDS 1 The National Bureau of Standards was established by an act of Congress March 3, 1901. The Bureau's overall goal is to strengthen and advance the Nation's science and technology and facilitate their effective application for public benefit. To this end, the Bureau conducts research and provides: (1) a basis for the Nation's physical measure- ment system, (2) scientific and technological services for industry and government, (3) a technical basis for equity in trade, and (4) technical services to promote public safety. The Bureau consists of the Institute for Basic Standards, the Institute for Materials Research, the Institute for Applied Technology, the Center for Computer Sciences and Technology, and the Office for Information Programs. THE INSTITUTE FOR BASIC STANDARDS provides the central basis within the United States of a complete and consistent system of physical measurement; coordinates that system with measurement systems of other nations; and furnishes essential services leading to accurate and uniform physical measurements throughout the Nation's scien- tific community, industry, and commerce. The Institute consists of a Center for Radia- tion Research, an Office of Measurement Services and the following divisions: Applied Mathematics—Electricity—Heat—Mechanics—Optical Physics—Linac Radiation 2—Nuclear Radiation 2—Applied Radiation 2—Quantum Electronics 3— Electromagnetics 3—Time and Frequency 3 —Laboratory Astrophysics 3—Cryo- 3 genics . THE INSTITUTE FOR MATERIALS RESEARCH conducts materials research lead- ing to improved methods of measurement, standards, and data on the properties of well-characterized materials needed by industry, commerce, educational institutions, and Government; provides advisory and research services to other Government agencies; and develops, produces, and distributes standard reference materials. The Institute con- sists of the Office of Standard Reference Materials and the following divisions: Analytical Chemistry—Polymers—Metallurgy—Inorganic Materials—Reactor Radiation—Physical Chemistry. THE INSTITUTE FOR APPLIED TECHNOLOGY provides technical services to pro- mote the use of available technology and to facilitate technological innovation in indus- try and Government; cooperates with public and private organizations leading to the development of technological standards (including mandatory safety standards), codes and methods of test; and provides technical advice and services to Government agencies upon request. The Institute also monitors NBS engineering standards activities and provides liaison between NBS and national and international engineering standards bodies. The Institute consists of the following divisions and offices: Engineering Standards Services—Weights and Measures—Invention and Innovation—Product Evaluation Technology—Building Research—Electronic Technology—Technical Analysis—Measurement Engineering—Office of Fire Programs. THE CENTER FOR COMPUTER SCIENCES AND TECHNOLOGY conducts re- search and provides technical services designed to aid Government agencies in improv- ing cost effectiveness in the conduct of their programs through the selection, acquisition, and effective utilization of automatic data processing equipment; and serves as the prin- cipal focus within the executive branch for the development of Federal standards for automatic data processing equipment, techniques, and computer languages. The Center consists of the following offices and divisions: Information Processing Standards—Computer Information—Computer Services —Systems Development—Information Processing Technology. THE OFFICE FOR INFORMATION PROGRAMS promotes optimum dissemination and accessibility of scientific information generated within NBS and other agencies of the Federal Government; promotes the development of the National Standard Reference Data System and a system of information analysis centers dealing with the broader aspects of the National Measurement System; provides appropriate services to ensure that the NBS staff has optimum accessibility to the scientific information of the world, and directs the public information activities of the Bureau. The Office consists of the following organizational units: Office of Standard Reference Data—Office of Technical Information and Publications—Library—Office of International Relations. 1 Headquarters and Laboratories at Gaithersburg, Maryland, unless otherwise noted; mailing address Washing- ton, D.C. 20234. 2 Part of the Center for Radiation Research. 3 Located at Boulder, Colorado 80302. '"' "\UC MAY 1 6 1972 The Ideal Lovibond Color System "%%i for C I E Standard llluminants A and C Shown in Three Colorimetric Systems Geraldine W. Haupt, John C. Schleter, and Kenneth L. Eckerle Heat Division Institute for Basic Standards National Bureau of Standards Washington, D.C. 20234 *t« T 0F c„ \ _-&£. 9*^ ** •"•ea^ o* U.S. DEPARTMENT OF COMMERCE, Peter G. Peterson, Secretary \j^ NATIONAL BUREAU OF STANDARDS, Lewis M. Branscomb, Director, Issued April 1972 "tT^Knir.J (^ €. m , W„ National Bureau of Standards Technical Note 716 Nat. Bur. Stand. (U.S.), Tech. Note 716, 115 pages ( Apr. 1972) CODEN: NBTNAE Issued April 1972 For sale by the Superintendent of Documents, U.S. Government Printing Office Washintgon, DC. 20402 (Order by SD Catalog No. C 13.46:716). Price $1.00. The Ideal Lovibond Color System for CIE Standard Illuminants A and C Shown in Three Colorimetric Systems Geraldine W. Haupt, John C. Schleter, and Kenneth L. Eckerle Tables are given which list luminous internal trans- mittances, luminous transmittances, and chromaticity coordinates of the ideal Lovibond color system for CIE standard illuminants A and C according to (1) the CIE 1931 (x,y)-system, (2) the CIE 1960 uniform-chromaticity-scale (UCS) (u,v) -system, and (3) the CIE 1964 (U*, V*, W*,)~ system. Chromaticity diagrams for the (x,y)- and (u,v)- systems are shown together with horizontal and vertical cross-sections of the (U*, V*, W*) -color solid for the entire ideal Lovibond color system produced by single- color units and two-color combinations of units for each illuminant. In addition, chromaticity diagrams and cross-sections are shown indicating the single-color units of red, yellow, and blue for each CIE system and illuminant, Key words: Chromaticity, Lovibond; CIE and Lovibond; color, Lovibond; color imetry, Lovibond; glass color standards; Lovibond and CIE. Lovibond glasses were introduced into this country from England at the turn of the century for the purpose of grading vegetable- and cottonseed - oils, i.e., of determining their quality and salability. These glasses together with the Lovibond Tintometer were developed in 1887 by Joseph W. Lovibond. Sets of Lovibond glasses were first made available as color standards sometime after 1896 when the company, The Tintometer Ltd. , was organized. This Lovibond color system consists of three scales, each represented by a series of glasses; a red, a yellow and a blue. The scales have been calibrated in arbitrary units, but the three units are related in such a way that for daylight illumination a combination of the same number of units of each of the red, yellow, and blue glasses results in an approximately neutral filter. Each glass in the series is identified by the number of unit glasses to which it is equivalent. In the 1920' s, the NBS undertook the standardization of one set of Lovibond glasses at the request of those interested in the use of similar glasses in the vegetable- and cottonseed-oil trade. The need or desire for an ideal scale had arisen long before 1927 when the first NBS paper on the Lovibond Color System was published [1] . This paper included, along with tables and graphs showing the fundamental spectro- photometry data for some of the glasses of NBS set BS9940 (purchased in 1912), a prefatory statement by Irwin G. Priest, first Chief of the 1 Figures in brackets indicate the literature references at on page 11. Colorimetry and Spectrophotometry Section of the National Bureau of Standards. It was here that Priest first alluded to the ideal scale by stating as one of the objectives of that standardization: "2. To specify in reproducible colorimetric terms a standard Lovibond scale which shall represent the present actual colors (BS9940) as closely as possible, subject to the condition that the irregularities or erratic variations (which are obviously departures from what might be called an ideal scale) are eliminated". These obvious departures may be seen in figures 1 and 2 of the paper published in 1947 [2]. These Lovibond "network" graphs were prepared to supply additional colorimetric data about the set BS9940. In 1962, the ideal units for the red (R) , yellow (Y) , and blue (B) glasses of the Lovibond Color System were defined in the paper by Judd, Chamberlin, and Haupt, "The Ideal Lovibond System" [3]. Table I of the 1962 paper gives the spectral internal transmittances of each of the unit glasses defining the ideal Lovibond Color System. These trans- mittances are based on fundamental spectrophotometric data determined for 20 glasses of each series (1, 2, 3, ..., 20). Some of the data were obtained at the NBS for the glasses of set BS9940 and others were obtained by the Tintometer, Ltd. , for glasses retained
Recommended publications
  • Colors and Fillstyle
    GraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphicsGraphics andandandandandandandandandandandandandandandandandandandandandandandandandandandandandand TTTTTTTTTTTTTTTTTTETETETETETXETXETXETXETXETXETXETXEXEXEXEXEXEXEXEXEXEXEXEXEXEXEXEXEXEXXXXX Ordinary colors More colors Colorful Fill—in style Custom colors From one color to another Tricks Online L Part II – Graphics AT EX Tutorial PSTricks c 2002, 2003, The Indian T This document is generated by hyperref, pstricks, pdftricks and pdfscreen packages on an intel and is released under EX Users Group The Indian T pc pdf running Floor lppl T Trivandrum 695014, EX with iii, sjp http://www.tug.org.in gnu/linux Buildings,EX Users Cotton HillsGroup india 1/19 Ordinary colors More colors Fill—in style Custom colors From one color to another 2. Colorful Tricks Seeing the (ps)tricks so far, at least some of you may be wishing for a bit of color in the graphics. Here’s good news for such people: you can have your wish! PSTricks comes with a set of macros that provide a basic set of colors Online LAT X Tutorial and lets you define your own colors. However, it has some incompatibility with E the LATEX package color. However, David Carlisle has written a package pstcol Part II – Graphics which modifies the PSTricks color interface to work with LATEX colors. All of our examples in this chapter assumes that this package is loaded, using the PSTricks command \usepackage{pstcol} in the preamble. Note that this loads the pstricks package also, so that it need not be separately loaded. c 2002, 2003, The Indian TEX Users Group This document is generated by pdfTEX with hyperref, pstricks, pdftricks and pdfscreen packages on an intel pc running gnu/linux and is released under lppl The Indian TEX Users Group Floor iii, sjp Buildings, Cotton Hills Trivandrum 695014, india http://www.tug.org.in 2/19 Colorful Tricks 2.1.
    [Show full text]
  • Review of Measures for Light-Source Color Rendition and Considerations for a Two-Measure System for Characterizing Color Rendition
    Review of measures for light-source color rendition and considerations for a two-measure system for characterizing color rendition Kevin W. Houser,1,* Minchen Wei,1 Aurélien David,2 Michael R. Krames,2 and Xiangyou Sharon Shen3 1Department of Architectural Engineering, The Pennsylvania State University, University Park, PA, 16802, USA 2Soraa, Inc., Fremont, CA 94555, USA 3Inno-Solution Research LLC, 913 Ringneck Road, State College, PA 16801, USA *[email protected] Abstract: Twenty-two measures of color rendition have been reviewed and summarized. Each measure was computed for 401 illuminants comprising incandescent, light-emitting diode (LED) -phosphor, LED-mixed, fluorescent, high-intensity discharge (HID), and theoretical illuminants. A multidimensional scaling analysis (Matrix Stress = 0.0731, R2 = 0.976) illustrates that the 22 measures cluster into three neighborhoods in a two- dimensional space, where the dimensions relate to color discrimination and color preference. When just two measures are used to characterize overall color rendition, the most information can be conveyed if one is a reference- based measure that is consistent with the concept of color fidelity or quality (e.g., Qa) and the other is a measure of relative gamut (e.g., Qg). ©2013 Optical Society of America OCIS codes: (330.1690) Color; (330.1715) Color, rendering and metamerism; (230.3670) Light-emitting diodes. References and links 1. CIE, “Methods of measuring and specifying colour rendering properties of light sources,” in CIE 13 (CIE, Vienna, Austria, 1965). 2. W. Walter, “How meaningful is the CIE color rendering index?” Light Design Appl. 11(2), 13–15 (1981). 3. T. Seim, “In search of an improved method for assessing the colour rendering properties of light sources,” Lighting Res.
    [Show full text]
  • Color Measurement1 Agr1c Ü8 ,
    I A^w /\PK4 1946 USDA COLOR MEASUREMENT1 AGR1C ü8 , ,. 2001 DEC-1 f=> 7=50 AndA ItsT ApplicationA rL '"NT SERIAL Í to the Grading of Agricultural Products A HANDBOOK ON THE METHOD OF DISK COLORIMETRY ui By S3 DOROTHY NICKERSON, Color Technologist, Producdon and Marketing Administration 50! es tt^iSi as U. S. DEPARTMENT OF AGRICULTURE Miscellaneous Publication 580 March 1946 CONTENTS Page Introduction 1 Color-grading problems 1 Color charts in grading work 2 Transparent-color standards in grading work 3 Standards need measuring 4 Several methods of expressing results of color measurement 5 I.C.I, method of color notation 6 Homogeneous-heterogeneous method of color notation 6 Munsell method of color notation 7 Relation between methods 9 Disk colorimetry 10 Early method 22 Present method 22 Instruments 23 Choice of disks 25 Conversion to Munsell notation 37 Application of disk colorimetry to grading problems 38 Sample preparation 38 Preparation of conversion data 40 Applications of Munsell notations in related problems 45 The Kelly mask method for color matching 47 Standard names for colors 48 A.S.A. standard for the specification and description of color 50 Color-tolerance specifications 52 Artificial daylighting for grading work 53 Color-vision testing 59 Literature cited 61 666177—46- COLOR MEASUREMENT And Its Application to the Grading of Agricultural Products By DOROTHY NICKERSON, color technologist Production and Marketing Administration INTRODUCTION cotton, hay, butter, cheese, eggs, fruits and vegetables (fresh, canned, frozen, and dried), honey, tobacco, In the 16 years since publication of the disk method 3 1 cereal grains, meats, and rosin.
    [Show full text]
  • Relationship of Solid Ink Density and Dot Gain in Digital Printing
    International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-7, July 2014 Relationship of Solid Ink Density and Dot Gain in Digital Printing Vikas Jangra, Abhishek Saini, Anil Kundu gain while meeting density requirements. As discussed Abstract— Ours is the generation which is living in the age of above Dot gain is the measurement of the increase in tone science and technology. The latest scientific inventions have value from original file to the printed sheet. given rise to various technologies in every aspect of our life. Newer technologies have entered the field of printing also. II. MATERIALS AND METHODS Digital printing is one of these latest technologies which have further revolutionized entire modern printing industry in many Densitometer is used for measuring density of ink ways. It also facilitates working on large variety of surfaces, on the paper. Densitometer can be classified according to besides these factors digital printing have grown widely and type of materials they are designed to measure i.e. opaque made a special impact in print market. The presented analysis and transparent. Density of opaque materials is measured by system is used for study of print quality in Digital Printing. reflected light with a device called reflection type densitometer. Density of transparent materials is measured Index Terms— Digital Printing, Dot Gain, Solid ink density, by transmitted light with a device called transmission type Coated Paper and Uncoated Paper. densitometer. In order to measure the print quality i.e. solid ink density (SID) and dot gain (DG) on coated and uncoated I.
    [Show full text]
  • Chromatic Adaptation Transform by Spectral Reconstruction Scott A
    Chromatic Adaptation Transform by Spectral Reconstruction Scott A. Burns, University of Illinois at Urbana-Champaign, [email protected] February 28, 2019 Note to readers: This version of the paper is a preprint of a paper to appear in Color Research and Application in October 2019 (Citation: Burns SA. Chromatic adaptation transform by spectral reconstruction. Color Res Appl. 2019;44(5):682-693). The full text of the final version is available courtesy of Wiley Content Sharing initiative at: https://rdcu.be/bEZbD. The final published version differs substantially from the preprint shown here, as follows. The claims of negative tristimulus values being “failures” of a CAT are removed, since in some circumstances such as with “supersaturated” colors, it may be reasonable for a CAT to produce such results. The revised version simply states that in certain applications, tristimulus values outside the spectral locus or having negative values are undesirable. In these cases, the proposed method will guarantee that the destination colors will always be within the spectral locus. Abstract: A color appearance model (CAM) is an advanced colorimetric tool used to predict color appearance under a wide variety of viewing conditions. A chromatic adaptation transform (CAT) is an integral part of a CAM. Its role is to predict “corresponding colors,” that is, a pair of colors that have the same color appearance when viewed under different illuminants, after partial or full adaptation to each illuminant. Modern CATs perform well when applied to a limited range of illuminant pairs and a limited range of source (test) colors. However, they can fail if operated outside these ranges.
    [Show full text]
  • ARC Laboratory Handbook. Vol. 5 Colour: Specification and Measurement
    Andrea Urland CONSERVATION OF ARCHITECTURAL HERITAGE, OFARCHITECTURALHERITAGE, CONSERVATION Colour Specification andmeasurement HISTORIC STRUCTURESANDMATERIALS UNESCO ICCROM WHC VOLUME ARC 5 /99 LABORATCOROY HLANODBOUOKR The ICCROM ARC Laboratory Handbook is intended to assist professionals working in the field of conserva- tion of architectural heritage and historic structures. It has been prepared mainly for architects and engineers, but may also be relevant for conservator-restorers or archaeologists. It aims to: - offer an overview of each problem area combined with laboratory practicals and case studies; - describe some of the most widely used practices and illustrate the various approaches to the analysis of materials and their deterioration; - facilitate interdisciplinary teamwork among scientists and other professionals involved in the conservation process. The Handbook has evolved from lecture and laboratory handouts that have been developed for the ICCROM training programmes. It has been devised within the framework of the current courses, principally the International Refresher Course on Conservation of Architectural Heritage and Historic Structures (ARC). The general layout of each volume is as follows: introductory information, explanations of scientific termi- nology, the most common problems met, types of analysis, laboratory tests, case studies and bibliography. The concept behind the Handbook is modular and it has been purposely structured as a series of independent volumes to allow: - authors to periodically update the
    [Show full text]
  • Chapter 7: Perceiving Color
    Chapter 7: Perceiving Color -The physical dimensions of color -The psychological dimensions of color appearance (hue, saturation, brightness) -The relationship between the psychological and physical dimensions of color (Trichromacy Color opponency) - Other influences on color perception (color constancy, top-down effects) Sir Isaac Newton Newton’s Prism Experiment (1704) White light is composed of multiple colors Light Monochromatic light : one wavelength (like a laser) Physical parameters for monochromatic light 1. Wavelength 2. Intensity Heterochromatic light : many wavelengths (normal light sources) For heterochromatic light The spectral composition gives the intensity at each wavelength Monochromatic light Heterochromatic light Spectral composition of two common (heterochromatic) illuminants The spectral components of light entering the eye is the product of the illuminant and the surface reflectance of objects. Reflectance of some common surfaces and pigments 350 400 450 500 550 600 650 700 750 800 Surface reflectance of some common objects 350 400 450 500 550 600 650 700 750 800 Spectral composition of light entering the eye after being reflected from a surface = Spectral composition of the Reflectance of the surface illuminant X Consider a ripe orange illuminated with a bright monochromatic blue (420 nm) light. What color will the banana appear to be? a. bright orange b. dark/dim orange Blue (monochromatic) c. black d. dark/dim blue Relative amount of light of amount Relative Wavelength Spectral composition of light entering the
    [Show full text]
  • PRECISE COLOR COMMUNICATION COLOR CONTROL from PERCEPTION to INSTRUMENTATION Knowing Color
    PRECISE COLOR COMMUNICATION COLOR CONTROL FROM PERCEPTION TO INSTRUMENTATION Knowing color. Knowing by color. In any environment, color attracts attention. An infinite number of colors surround us in our everyday lives. We all take color pretty much for granted, but it has a wide range of roles in our daily lives: not only does it influence our tastes in food and other purchases, the color of a person’s face can also tell us about that person’s health. Even though colors affect us so much and their importance continues to grow, our knowledge of color and its control is often insufficient, leading to a variety of problems in deciding product color or in business transactions involving color. Since judgement is often performed according to a person’s impression or experience, it is impossible for everyone to visually control color accurately using common, uniform standards. Is there a way in which we can express a given color* accurately, describe that color to another person, and have that person correctly reproduce the color we perceive? How can color communication between all fields of industry and study be performed smoothly? Clearly, we need more information and knowledge about color. *In this booklet, color will be used as referring to the color of an object. Contents PART I Why does an apple look red? ········································································································4 Human beings can perceive specific wavelengths as colors. ························································6 What color is this apple ? ··············································································································8 Two red balls. How would you describe the differences between their colors to someone? ·······0 Hue. Lightness. Saturation. The world of color is a mixture of these three attributes.
    [Show full text]
  • Testing the Robustness of CIECAM02
    Testing the Robustness of CIECAM02 C. J. Li,*1,2 M. R. Luo2 1Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China 2Department of Colour and Polymer Chemistry, University of Leeds, Leeds LS2 9JT, UK Received 14 July 2003; revised 22 March 2004; accepted 28 June 2004 Abstract: CIE TC8-01 has adopted a new color appearance tional complexity, whereby industrial applications require model: CIECAM021 replaces the CIECAM97s.2 The new the color appearance model to be not only accurate in model consists of a number of refinements and simplifica- predicting the perceptual attributes but also simple in com- tions of the CIECAM97s color appearance model. This putation complexity. To this end, its nonlinear chromatic article describes further tests to the robustness of the for- adaptation transform must be simplified. Li, Luo, Rigg, and ward and reverse modes. © 2005 Wiley Periodicals, Inc. Col Res Hunt5 first considered the linearization of the CMCCAT974 Appl, 30, 99–106, 2005; Published online in Wiley InterScience (www. using the available experimental data sets. The newly de- interscience.wiley.com). DOI 10.1002/col.20087 rived linear chromatic adaptation transform (CMC- Key words: CIECAM02; CIECAM97s; forward mode; re- CAT2000) is not only simpler but also more accurate than 4 6,7 8 verse mode; sRGB space; object color solid CMCCAT97 and CIECAT94. Fairchild and Hunt, Li, Juan, and Luo9 made further revisions to the CIECAM97s using different linear chromatic adaptation transforms. The INTRODUCTION former used a modified linear chromatic transformation, and The CIE in 1997 recommended a simple version of the color the latter used CMCCAT2000.
    [Show full text]
  • Viasat Logo Usage Guide
    The Viasat logo is the most prominent visual representation of our brand, and we have a strong interest in controlling the way it is used and distributed. As a result, you are permitted to use the logo for the sole purpose of providing the services requested by Viasat, and are prohibited from distributing it to any individual without a need to receive the logo to provide such services. The logo provided, which has not been made public is not expected to be made public until on or around November 30, 2017, is Viasat’s confidential information and you are required to protect it in accordance with the terms of our nondisclosure agreement or other agreement governing the protection of confidential information. We take confidentiality violations seriously, so if you have any questions regarding the use or distribution of the ViaSat logo, please contact the Viasat Marketing Department at [email protected] prior to taking the action in question. Viasat Logo quick reference guide COMPONENTS COLORS & BACKGROUNDS The Viasat logo is made up of 2 visual components, designed to be used together, The full color gradient version is preferred and should always be used against a solid white background the "Viasat" type connected to the "signal" symbol. or over lighter photographs. The full color solid version is for limited reproduction applications where gradients may not be possible. Always choose colors and photography that provide sufficient contrast for the logo to remain clear and legible. Full color gradient (PREFERRED) 1-color Viasat Green (dark color background) COLOR PALETTE 1-color Viasat Gray 1-color Viasat Gray (light color background) The color palette is available in CMYK, RGB, and Pantone color modes as an .ase file that can be loaded into Adobe design applications.
    [Show full text]
  • Managing Color Appearance in Self-Luminous Displays
    Managing Color Appearance in Self-Luminous Displays Celeste M. Howard Hughes Training, Inc., Training Operations Armstrong Laboratory, Aircrew Training Research Division Williams Gateway Airport, Mesa, Arizona Abstract ployed in those classical color-matching experiments of the 1920s on which so much of modern color science rests. Like Electro-optical displays challenge color appearance sys- those instruments, it provides three primary light sources, tems based on the study of surface colors because these but instead of extracting them from white light by filters or displays provide complex arrays of additive color. CRTs monochromators, it produces them by stimulating red-, already enable us to present some colors beyond the gamut green-, and blue-emitting phosphors. In the future we may of surface colors at both high and low lightnesses. Laser- also expect to see electro-optical displays based on mono- based devices will carry this potential much farther, result- chromatic primaries derived from lasers. Such devices will ing in dark colors as well as light ones with a colorfulness combine the color capability of laboratory colorimeters that in some cases lies even beyond the maximum theoreti- with the temporal and spatial complexity of modern infor- cally achievable with illuminated objects. The work of mation displays. Evans, who regarded surface colors as a special case of Additive color has been extensively employed in color aperture colors, deserves renewed attention for its applica- vision research, and until recently most of this research has bility to additive color displays. Users of self-luminous employed quite simple spatial arrangements of one or two displays need to be aware that brightness is not adequately colors in a dark field.
    [Show full text]
  • Principles of Color Matching with Displays
    Principles of color matching with displays • CRT displays • Linear equations for matching • The nonlinearity (gamma) curve Color matching with displays CRT signal path Displays mimic the color-matching experiment at each point CRT LCD-1 LCD-2 Trinitron Tri-dot Shadow mask geometry associates each neam with a single phosphor In CRTs, the beam spreads across a few locations, but the local rays are nearly parallel and preserve color association Superposition of Phosphor SPDs CRT Emission Equations Display matching 1.8 1.4 1 0.6 Monitor linear 0.2 400 500 600 700 ⎛⎞intensities ⎜⎟ ⎛⎞⎛Xe ⎞ ⎛⎞r XYZ functions ⎜⎟ ⎜⎟⎜ ⎟Monitor ⎜⎟ Ye⎜⎟primaries ⎜⎟⎜= ⎟ ⎜⎟g ⎜⎟⎜Ze ⎟⎜⎟ ⎜⎟ ⎝⎠⎝ ⎠⎜⎟ ⎝⎠b ⎜⎟ ⎝⎠ When two different lights look the same Create a metamer 1.8 1.4 3 Display Primary Image contains a 1 primary SPDs intensities target value 0.6 ⎛⎞ 0.2 Xr400 500 600 700 ⎜⎟ ⎛⎞⎛ ⎞⎜⎟ ⎛⎞ ⎜⎟⎜Yg ⎟⎜⎟ ⎜⎟ ⎜⎟⎜= ⎟ ⎜⎟ ⎜⎟⎜ ⎟⎜⎟ ⎜⎟ ⎝⎠⎝Zb ⎠⎜⎟ ⎝⎠ ⎜⎟ ⎝⎠ (CMF * Display) When two different lights look the same Create a metamer Primary Image intensities contains a target value ⎛ r ⎞ ⎛ ⎞ ⎛ X ⎞ ⎜ ⎟ −1 g = ⎜ (CMF * Display) ⎟ ⎜ ⎟ ⎜ ⎟ Y ⎜ ⎟ ⎜ ⎟ ⎝⎜ b ⎠⎟ ⎝ ⎠ ⎝ Z ⎠ 3x3 A word about the display transduction function Often called the display gamma LD=+αβγ Some Comments About Display Gamma Levels of 2.0 Linear spacing 1 2 3 Steps are 4 Bunched too big in 5 appearance in 6 dark bright region 7 regions 8 9 10 2 4 6 8 10 12 14 16 Uniform appearance Equal L* spacing 1 2 3 4 Board work to 5 6 explain relationship 7 to transduction 8 9 10 2 4 6 8 10 12 14 16 Camera-Display Matching Camera measures RGB
    [Show full text]