Colourimetric Evaluation of the NCS Colour Atlas
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When Red Lights Look Yellow
Publications 11-2005 When Red Lights Look Yellow Joanne M. Wood Queensland University of Technology David A. Atchison Queensland University of Technology Alex Chaparro Wichita State University, [email protected] Follow this and additional works at: https://commons.erau.edu/publication Part of the Cognition and Perception Commons, Musculoskeletal, Neural, and Ocular Physiology Commons, and the Ophthalmology Commons Scholarly Commons Citation Wood, J. M., Atchison, D. A., & Chaparro, A. (2005). When Red Lights Look Yellow. Investigative Ophthalmology & Visual Science, 46(11). https://doi.org/10.1167/iovs.04-1513 This Article is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Publications by an authorized administrator of Scholarly Commons. For more information, please contact [email protected]. When Red Lights Look Yellow Joanne M. Wood,1 David A. Atchison,1 and Alex Chaparro2 PURPOSE. Red signals are typically used to signify danger. This observer’s distance spectacle prescription. It did not occur study was conducted to investigate a situation identified by with lens powers in excess of ϩ1.00 D, as the signals became train drivers in which red signals appear yellow when viewed too blurred for the viewer to distinguish the color. A compre- at long distances (ϳ900 m) through progressive-addition hensive eye and vision examination of the train driver who had lenses. originally reported the color misperception revealed that his METHODS. A laboratory study was conducted to investigate the corrected vision was normal. The train driver was also shown effects of defocus, target size, ambient illumination, and sur- to have normal color vision, as assessed by the Ishihara, Farns- round characteristics on the extent of the color misperception worth Lantern, and Farnsworth D15 tests. -
Several Color Appearance Phenomena in Color Reproduction
2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012) Several Color Appearance Phenomena in Color Reproduction Qin-ling Dai1,a, Xiao-zhou Li2*,b, Ai Xu2 1 School of Materials Engineering (Southwest Forestry University), Kunming, China 650224 2 Key Laboratory of Pulp & Paper Science and Technology (Shandong Polytechnic University), Ministry of Education, Ji’nan, China, 250353 [email protected], bcorresponding author: [email protected] Keywords: color reproduction, color appearance, color appearance phenomena Abstract. Color perceived performance was influenced by various color appearance phenomena caused by varying viewing conditions in color reproduction process. It is necessary to do some research on the color appearance phenomena to represent the color appearance models qualitatively and quantitatively and accurate color reproduction easily. Only the phenomena were studied thoroughly, could the color transmission and reproduction be well performed. The color appearance and common color appearance phenomena of color reproduction were analyzed in this paper. And the basic theory of color appearance in color reproduction was also studied. Introduction High fidelity digital printing plays an important role in high fidelity color transmission and reproduction and it is one of the most important techniques to perform high fidelity color reproduction. High fidelity digital printing helps to perform accurate color reproduction of the original which can’t be performed because of paper and ink in traditional printing process [1]. In color printing, the color difference caused by paper, ink and viewing conditions is various. The difference is not only colorimetric difference but also different color appearance phenomena. While the different color appearance phenomenon is the leading factor to influence the color vision perceived. -
Chapter 6 COLOR and COLOR VISION
Chapter 6 – page 1 You need to learn the concepts and formulae highlighted in red. The rest of the text is for your intellectual enjoyment, but is not a requirement for homework or exams. Chapter 6 COLOR AND COLOR VISION COLOR White light is a mixture of lights of different wavelengths. If you break white light from the sun into its components, by using a prism or a diffraction grating, you see a sequence of colors that continuously vary from red to violet. The prism separates the different colors, because the index of refraction n is slightly different for each wavelength, that is, for each color. This phenomenon is called dispersion. When white light illuminates a prism, the colors of the spectrum are separated and refracted at the first as well as the second prism surface encountered. They are deflected towards the normal on the first refraction and away from the normal on the second. If the prism is made of crown glass, the index of refraction for violet rays n400nm= 1.59, while for red rays n700nm=1.58. From Snell’s law, the greater n, the more the rays are deflected, therefore violet rays are deflected more than red rays. The infinity of colors you see in the real spectrum (top panel above) are called spectral colors. The second panel is a simplified version of the spectrum, with abrupt and completely artificial separations between colors. As a figure of speech, however, we do identify quite a broad range of wavelengths as red, another as orange and so on. -
Computer Graphicsgraphics -- Weekweek 1212
ComputerComputer GraphicsGraphics -- WeekWeek 1212 Bengt-Olaf Schneider IBM T.J. Watson Research Center Questions about Last Week ? Computer Graphics – Week 12 © Bengt-Olaf Schneider, 1999 Overview of Week 12 Graphics Hardware Output devices (CRT and LCD) Graphics architectures Performance modeling Color Color theory Color gamuts Gamut matching Color spaces (next week) Computer Graphics – Week 12 © Bengt-Olaf Schneider, 1999 Graphics Hardware: Overview Display technologies Graphics architecture fundamentals Many of the general techniques discussed earlier in the semester were developed with hardware in mind Close similarity between software and hardware architectures Computer Graphics – Week 12 © Bengt-Olaf Schneider, 1999 Display Technologies CRT (Cathode Ray Tube) LCD (Liquid Crystal Display) Computer Graphics – Week 12 © Bengt-Olaf Schneider, 1999 CRT: Basic Structure (1) Top View Vertical Deflection Collector Control Grid System Electrode Phosphor Electron Beam Cathode Electron Lens Horizontal Deflection System Computer Graphics – Week 12 © Bengt-Olaf Schneider, 1999 CRT: Basic Structure (2) Deflection System Typically magnetic and not electrostatic Reduces the length of the tube and allows wider Vertical Deflection Collector deflection angles Control Grid System Electrode Phosphor Phospor Electron Beam Cathode Electron Lens Horizontal Fluorescence: Light emitted Deflection System after impact of electrons Persistence: Duration of emission after beam is turned off. Determines flicker properties of the CRT. Computer Graphics – Week -
Control of Chromatic Adaptation: Signals from Separate Cone Classes Interact
Vision Research 40 (2000) 2885–2903 www.elsevier.com/locate/visres Control of chromatic adaptation: signals from separate cone classes interact Peter B. Delahunt *, David H. Brainard Department of Psychology, Uni6ersity of California, Santa Barbara, Santa Barbara, CA 93106, USA Received 7 December 1999; received in revised form 11 April 2000 Abstract Match stimuli presented on one side of a contextual image were adjusted to have the same appearance as test stimuli presented on the other side. Both full color and isochromatic contextual images were used. Contextual image pairs were constructed that had identical S-cone image planes, while their L- and M-cone image planes differed. The data show that the S-cone component of the matches depends on the L- and M-cone planes of the contextual image. This dependence means that matches obtained using isochromatic stimuli (lightness matches) may not be used directly to predict full color matches. © 2000 Elsevier Science Ltd. All rights reserved. Keywords: Colour; Constancy; Adaptation; Appearance; Lightness 1. Introduction studies, judgments are made of a single attribute of color appearance, lightness (or sometimes brightness). Color appearance depends on context. A classic ex- Restricting the stimuli in this way simplifies ample is simultaneous color contrast, where the imme- stimulus specification and control and therefore allows diate surround of an image region affects its color easier exploration of spatially rich contexts. We refer to appearance (see for example Evans, 1948). The immedi- studies where the stimuli are restricted to be isochro- ate surround, however, is not the only relevant contex- matic as lightness experiments (e.g. -
Radiometry of Light Emitting Diodes Table of Contents
TECHNICAL GUIDE THE RADIOMETRY OF LIGHT EMITTING DIODES TABLE OF CONTENTS 1.0 Introduction . .1 2.0 What is an LED? . .1 2.1 Device Physics and Package Design . .1 2.2 Electrical Properties . .3 2.2.1 Operation at Constant Current . .3 2.2.2 Modulated or Multiplexed Operation . .3 2.2.3 Single-Shot Operation . .3 3.0 Optical Characteristics of LEDs . .3 3.1 Spectral Properties of Light Emitting Diodes . .3 3.2 Comparison of Photometers and Spectroradiometers . .5 3.3 Color and Dominant Wavelength . .6 3.4 Influence of Temperature on Radiation . .6 4.0 Radiometric and Photopic Measurements . .7 4.1 Luminous and Radiant Intensity . .7 4.2 CIE 127 . .9 4.3 Spatial Distribution Characteristics . .10 4.4 Luminous Flux and Radiant Flux . .11 5.0 Terminology . .12 5.1 Radiometric Quantities . .12 5.2 Photometric Quantities . .12 6.0 References . .13 1.0 INTRODUCTION Almost everyone is familiar with light-emitting diodes (LEDs) from their use as indicator lights and numeric displays on consumer electronic devices. The low output and lack of color options of LEDs limited the technology to these uses for some time. New LED materials and improved production processes have produced bright LEDs in colors throughout the visible spectrum, including white light. With efficacies greater than incandescent (and approaching that of fluorescent lamps) along with their durability, small size, and light weight, LEDs are finding their way into many new applications within the lighting community. These new applications have placed increasingly stringent demands on the optical characterization of LEDs, which serves as the fundamental baseline for product quality and product design. -
Got Good Color? Controlling Color Temperature in Imaging Software
Got Good Color? Controlling Color Temperature in Imaging Software When you capture an image of a specimen, you want it to look like what you saw through the eyepieces. In this article we will cover the basic concepts of color management and what you can do to make sure what you capture is as close to what you see as possible. Get a Reference Let’s define what you want to achieve: you want the image you produce on your computer screen or on the printed page to look like what you see through the eyepieces of your microscope. In order to maximize the match between these images, your system must be setup to use the same reference. White light is the primary reference that you have most control of in your imaging system. It is your responsibility to set it properly at different points in your system. Many Colors of White Although “White” sounds like a defined color, there are different shades of white. This happens because white light is made up of all wavelengths in the visible spectrum. True white light has an equal intensity at every wavelength. If any wavelength has a higher intensity than the rest, the light takes on a hue related to the dominant wavelength. A simple definition of the hue cast of white light is called “Color Temperature”. This comes from its basis in the glow of heated materials. In general the lower the temperature (in °Kelvin = C° + 273) the redder the light, the higher the temperature the bluer the light. The one standard white lighting in photography and photomicrography is 5000°K (D50) and is called daylight neutral white. -
Prepared by Dr.P.Sumathi COLOR MODELS
UNIT V: Colour models and colour applications – properties of light – standard primaries and the chromaticity diagram – xyz colour model – CIE chromaticity diagram – RGB colour model – YIQ, CMY, HSV colour models, conversion between HSV and RGB models, HLS colour model, colour selection and applications. TEXT BOOK 1. Donald Hearn and Pauline Baker, “Computer Graphics”, Prentice Hall of India, 2001. Prepared by Dr.P.Sumathi COLOR MODELS Color Model is a method for explaining the properties or behavior of color within some particular context. No single color model can explain all aspects of color, so we make use of different models to help describe the different perceived characteristics of color. 15-1. PROPERTIES OF LIGHT Light is a narrow frequency band within the electromagnetic system. Other frequency bands within this spectrum are called radio waves, micro waves, infrared waves and x-rays. The below figure shows the frequency ranges for some of the electromagnetic bands. Each frequency value within the visible band corresponds to a distinct color. The electromagnetic spectrum is the range of frequencies (the spectrum) of electromagnetic radiation and their respective wavelengths and photon energies. Spectral colors range from the reds through orange and yellow at the low-frequency end to greens, blues and violet at the high end. Since light is an electromagnetic wave, the various colors are described in terms of either the frequency for the wave length λ of the wave. The wavelength and frequency of the monochromatic wave is inversely proportional to each other, with the proportionality constants as the speed of light C where C = λ f. -
Digital Color Processing
Lecture 6 in Computerized Image Analysis Digital Color Processing Lecture 6 in Computerized Image Analysis Digital Color Processing Hamid Sarve [email protected] Reading instructions: Chapter 6 The slides 1 Lecture 6 in Computerized Image Analysis Digital Color Processing Electromagnetic Radiation Visible light (for humans) is electromagnetic radiation with wavelengths in the approximate interval of 380- 780 nm Gamma Xrays UV IR μWaves TV Radio 0.001 nm 10 nm 0.01 m VISIBLE LIGHT 400 nm 500 nm 600 nm 700 nm 2 2 Lecture 6 in Computerized Image Analysis Digital Color Processing Light Properties Illumination Achromatic light - “White” or uncolored light that contains all visual wavelengths in a “complete mix”. Chromatic light - Colored light. Monochromatic light - A single wavelength, e.g., a laser. Reflection No color that we “see” consists of only one wavelength The dominating wavelength reflected by an object decides the “color tone” or hue. If many wavelengths are reflected in equal amounts, an object appears gray. 3 3 Lecture 6 in Computerized Image Analysis Digital Color Processing The Human Eye Rods and Cones rods (stavar och tappar) only rods cone mostly cones only rods optical nerves 4 4 Lecture 6 in Computerized Image Analysis Digital Color Processing The Rods Approx. 100 million rod cells per eye Light-sensitive receptors Used for night-vision Not used for color-vision! Rods have a slower response time compared to cones, i.e. the frequency of its temporal sampling is lower 5 5 Lecture 6 in Computerized Image Analysis Digital Color -
Color Appearance Models Second Edition
Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Color Appearance Models Wiley–IS&T Series in Imaging Science and Technology Series Editor: Michael A. Kriss Formerly of the Eastman Kodak Research Laboratories and the University of Rochester The Reproduction of Colour (6th Edition) R. W. G. Hunt Color Appearance Models (2nd Edition) Mark D. Fairchild Published in Association with the Society for Imaging Science and Technology Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Copyright © 2005 John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England Telephone (+44) 1243 779777 This book was previously publisher by Pearson Education, Inc Email (for orders and customer service enquiries): [email protected] Visit our Home Page on www.wileyeurope.com or www.wiley.com All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except under the terms of the Copyright, Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency Ltd, 90 Tottenham Court Road, London W1T 4LP, UK, without the permission in writing of the Publisher. Requests to the Publisher should be addressed to the Permissions Department, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, or emailed to [email protected], or faxed to (+44) 1243 770571. This publication is designed to offer Authors the opportunity to publish accurate and authoritative information in regard to the subject matter covered. -
Colour Theory COLOUR THEORY Colour Wheel & Colour Types Colour Is the Element of Art That Refers to Reflected Light
Colour Theory COLOUR THEORY Colour Wheel & Colour Types Colour is the element of art that refers to reflected light. Colour Theory is both the science and the art of using colour. It explains how humans see colour and how colours mix, match, or contrast with each other. The colour wheel is a visual representation of colours arranged according to their chromatic relationship. Sir Isaac Newton developed the first circular diagram of colours in the1600’s! Newton observed the way each colour of light would bend as it passed through a prism. “ROY G BIV” was the result of Newton’s discovery. His experiments led to the theory that red, yellow and blue were the primary colours from which all other colours are derived. In Newton’s color wheel (below left), the colors are arranged clockwise in the order they appear in the rainbow, each “spoke” of the wheel is assigned a letter. The Colour Wheel we know and recognize today has 12 fundamental colours: yellow, yellow-orange, orange, red-orange, red, red-violet, violet, blue-violet, blue, blue-green, green, and yellow-green. Color Circle by Sir Isaac Newton, (1672) Farbkreis by Johannes Itten, Art of Colour, (1961) woodstockartgallery.ca Colour Theory The primary colours are yellow, red, and blue. No two colours can be mixed to create a PRIMARY primary colour. All other colours found on the colour wheel can be created by mixing primary colours. The secondary colours are orange, violet, and SECONDARY green which are created by mixing equal parts of any two primary colours Tertiary colours are created by mixing equal parts of a secondary colour and a primary TERTIARY colour. -
HUE, VALUE, SATURATION All Color Starts with Light
HUE, VALUE, SATURATION What is color? Color is the visual byproduct of the spectrum of light as it is either transmitted through a transparent medium, or as it is absorbed and reflected off a surface. Color is the light wavelengths that the human eye receives and processes from a reflected source. Color consists of three main integral parts: hue value saturation (also called “chroma”) HUE - - - more specifically described by the dominant wavelength and is the first item we refer to (i.e. “yellow”) when adding in the three components of a color. Hue is also a term which describes a dimension of color we readily experience when we look at color, or its purest form; it essentially refers to a color having full saturation, as follows: When discussing “pigment primaries” (CMY), no white, black, or gray is added when 100% pure. (Full desaturation is equivalent to a muddy dark grey. True black is not usually possible in the CMY combination.) When discussing spectral “light primaries” (RGB), a pure hue equivalent to full saturation is determined by the ratio of the dominant wavelength to other wavelengths in the color. VALUE - - - refers to the lightness or darkness of a color. It indicates the quantity of light reflected. When referring to pigments, dark values with black added are called “shades” of the given hue name. Light values with white pigment added are called “tints” of the hue name. SATURATION - - - (INTENSITY OR CHROMA) defines the brilliance and intensity of a color. When a pigment hue is “toned,” both white and black (grey) are added to the color to reduce the color’s saturation.