The Art of Being Color-Communication-Effective, Not Just Colorful
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Color Difference Delta E - a Survey
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/236023905 Color difference Delta E - A survey Article in Machine Graphics and Vision · April 2011 CITATIONS READS 12 8,785 2 authors: Wojciech Mokrzycki Maciej Tatol Cardinal Stefan Wyszynski University in Warsaw University of Warmia and Mazury in Olsztyn 157 PUBLICATIONS 177 CITATIONS 5 PUBLICATIONS 27 CITATIONS SEE PROFILE SEE PROFILE All content following this page was uploaded by Wojciech Mokrzycki on 08 August 2017. The user has requested enhancement of the downloaded file. Colour difference ∆E - A survey Mokrzycki W.S., Tatol M. {mokrzycki,mtatol}@matman.uwm.edu.pl Faculty of Mathematics and Informatics University of Warmia and Mazury, Sloneczna 54, Olsztyn, Poland Preprint submitted to Machine Graphic & Vision, 08:10:2012 1 Contents 1. Introduction 4 2. The concept of color difference and its tolerance 4 2.1. Determinants of color perception . 4 2.2. Difference in color and tolerance for color of product . 5 3. An early period in ∆E formalization 6 3.1. JND units and the ∆EDN formula . 6 3.2. Judd NBS units, Judd ∆EJ and Judd-Hunter ∆ENBS formulas . 6 3.3. Adams chromatic valence color space and the ∆EA formula . 6 3.4. MacAdam ellipses and the ∆EFMCII formula . 8 4. The ANLab model and ∆E formulas 10 4.1. The ANLab model . 10 4.2. The ∆EAN formula . 10 4.3. McLaren ∆EMcL and McDonald ∆EJPC79 formulas . 10 4.4. The Hunter color system and the ∆EH formula . 11 5. ∆E formulas in uniform color spaces 11 5.1. -
Accurately Reproducing Pantone Colors on Digital Presses
Accurately Reproducing Pantone Colors on Digital Presses By Anne Howard Graphic Communication Department College of Liberal Arts California Polytechnic State University June 2012 Abstract Anne Howard Graphic Communication Department, June 2012 Advisor: Dr. Xiaoying Rong The purpose of this study was to find out how accurately digital presses reproduce Pantone spot colors. The Pantone Matching System is a printing industry standard for spot colors. Because digital printing is becoming more popular, this study was intended to help designers decide on whether they should print Pantone colors on digital presses and expect to see similar colors on paper as they do on a computer monitor. This study investigated how a Xerox DocuColor 2060, Ricoh Pro C900s, and a Konica Minolta bizhub Press C8000 with default settings could print 45 Pantone colors from the Uncoated Solid color book with only the use of cyan, magenta, yellow and black toner. After creating a profile with a GRACoL target sheet, the 45 colors were printed again, measured and compared to the original Pantone Swatch book. Results from this study showed that the profile helped correct the DocuColor color output, however, the Konica Minolta and Ricoh color outputs generally produced the same as they did without the profile. The Konica Minolta and Ricoh have much newer versions of the EFI Fiery RIPs than the DocuColor so they are more likely to interpret Pantone colors the same way as when a profile is used. If printers are using newer presses, they should expect to see consistent color output of Pantone colors with or without profiles when using default settings. -
Predictability of Spot Color Overprints
Predictability of Spot Color Overprints Robert Chung, Michael Riordan, and Sri Prakhya Rochester Institute of Technology School of Print Media 69 Lomb Memorial Drive, Rochester, NY 14623, USA emails: [email protected], [email protected], [email protected] Keywords spot color, overprint, color management, portability, predictability Abstract Pre-media software packages, e.g., Adobe Illustrator, do amazing things. They give designers endless choices of how line, area, color, and transparency can interact with one another while providing the display that simulates printed results. Most prepress practitioners are thrilled with pre-media software when working with process colors. This research encountered a color management gap in pre-media software’s ability to predict spot color overprint accurately between display and print. In order to understand the problem, this paper (1) describes the concepts of color portability and color predictability in the context of color management, (2) describes an experimental set-up whereby display and print are viewed under bright viewing surround, (3) conducts display-to-print comparison of process color patches, (4) conducts display-to-print comparison of spot color solids, and, finally, (5) conducts display-to-print comparison of spot color overprints. In doing so, this research points out why the display-to-print match works for process colors, and fails for spot color overprints. Like Genie out of the bottle, there is no turning back nor quick fix to reconcile the problem with predictability of spot color overprints in pre-media software for some time to come. 1. Introduction Color portability is a key concept in ICC color management. -
2017 Design Trends Every Year, Accessa Rounds up Consumer Trends in Coatings and Colors for Homes and Offices from a Range of Sources
SPECIAL EDITION 2017 Design Trends Every year, Accessa rounds up consumer trends in coatings and colors for homes and offices from a range of sources. When your customers ask for it, you’ll be ready. Bathroom in Poised Taupe, Sherwin-Williams 2017 Color of the Year (PRNewsFoto/Sherwin-Williams) COLORS OF THE YEAR INTRODUCING THE 2017 COLOR OF 2017 KEY COLOR COMBINATIONS FEATURING THE YEAR – POISED TAUPE POISED TAUPE… In addition to the “warming up” of neutrals in general, Poised Taupe creates a cozy lifestyle and brings a 2017 will see several key colors emerge in sense of sanctuary into our homes. It diffuses the combination with taupe. stresses of the world outside our doors — so much • Cornflower Hues: Faded indigo and lighter so that we feel restored and in balance when we walk cornflower hues pair with modern white and across our threshold. Poised Taupe for a charming palette, reminiscent of the French countryside. The Danes have a word to describe this feeling, hygge • Organic Re-Imagined: Vegetal green, citrus green, (pronounced hue-gah), which loosely translates as weathered bronze and mustard yellow pair with cozy, or creating a sense of coziness and warmth. Poised Taupe to create a contemporary organic The soft glow of candle-light, a toasty drink, and the palette — re-imagined for the modern world. company of family and friends is certainly hygge, but this feeling comes from creating the right atmosphere. • Vintage Pastels: Pastels take on a vintage vibe with dusty ink, amber, Poised Taupe, sage and There is a particular beauty to be admired in homes oxidized yellow. -
Measuring Perceived Color Difference Using YIQ Color Space
Programación Matemática y Software (2010) Vol. 2. No 2. ISSN: 2007-3283 Recibido: 17 de Agosto de 2010 Aceptado: 25 de Noviembre de 2010 Publicado en línea: 30 de Diciembre de 2010 Measuring perceived color difference using YIQ NTSC transmission color space in mobile applications Yuriy Kotsarenko, Fernando Ramos TECNOLOGICO DE DE MONTERREY, CAMPUS CUERNAVACA. Resumen: En este trabajo varias fórmulas están introducidas que permiten calcular la medir la diferencia entre colores de forma perceptible, utilizando el espacio de colores YIQ. Las formulas clásicas y sus derivados que utilizan los espacios CIELAB y CIELUV requieren muchas transformaciones aritméticas de valores entrantes definidos comúnmente con los componentes de rojo, verde y azul, y por lo tanto son muy pesadas para su implementación en dispositivos móviles. Las fórmulas alternativas propuestas en este trabajo basadas en espacio de colores YIQ son sencillas y se calculan rápidamente, incluso en tiempo real. La comparación está incluida en este trabajo entre las formulas clásicas y las propuestas utilizando dos diferentes grupos de experimentos. El primer grupo de experimentos se enfoca en evaluar la diferencia perceptible utilizando diferentes fórmulas, mientras el segundo grupo de experimentos permite determinar el desempeño de cada una de las fórmulas para determinar su velocidad cuando se procesan imágenes. Los resultados experimentales indican que las formulas propuestas en este trabajo son muy cercanas en términos perceptibles a las de CIELAB y CIELUV, pero son significativamente más rápidas, lo que los hace buenos candidatos para la medición de las diferencias de colores en dispositivos móviles y aplicaciones en tiempo real. Abstract: An alternative color difference formulas are presented for measuring the perceived difference between two color samples defined in YIQ color space. -
Color Appearance Models Today's Topic
Color Appearance Models Arjun Satish Mitsunobu Sugimoto 1 Today's topic Color Appearance Models CIELAB The Nayatani et al. Model The Hunt Model The RLAB Model 2 1 Terminology recap Color Hue Brightness/Lightness Colorfulness/Chroma Saturation 3 Color Attribute of visual perception consisting of any combination of chromatic and achromatic content. Chromatic name Achromatic name others 4 2 Hue Attribute of a visual sensation according to which an area appears to be similar to one of the perceived colors Often refers red, green, blue, and yellow 5 Brightness Attribute of a visual sensation according to which an area appears to emit more or less light. Absolute level of the perception 6 3 Lightness The brightness of an area judged as a ratio to the brightness of a similarly illuminated area that appears to be white Relative amount of light reflected, or relative brightness normalized for changes in the illumination and view conditions 7 Colorfulness Attribute of a visual sensation according to which the perceived color of an area appears to be more or less chromatic 8 4 Chroma Colorfulness of an area judged as a ratio of the brightness of a similarly illuminated area that appears white Relationship between colorfulness and chroma is similar to relationship between brightness and lightness 9 Saturation Colorfulness of an area judged as a ratio to its brightness Chroma – ratio to white Saturation – ratio to its brightness 10 5 Definition of Color Appearance Model so much description of color such as: wavelength, cone response, tristimulus values, chromaticity coordinates, color spaces, … it is difficult to distinguish them correctly We need a model which makes them straightforward 11 Definition of Color Appearance Model CIE Technical Committee 1-34 (TC1-34) (Comission Internationale de l'Eclairage) They agreed on the following definition: A color appearance model is any model that includes predictors of at least the relative color-appearance attributes of lightness, chroma, and hue. -
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 -
The Applicability of Total Color Difference E for Determining The
applied sciences Article The Applicability of Total Color Difference DE for Determining the Blooming Time in Longissimus Lumborum and Semimembranosus Muscles from Holstein-Friesian Bulls at Different Ageing Times Katarzyna Tkacz 1,* , Monika Modzelewska-Kapituła 1 , Adam Wi˛ek 1 and Zenon Nogalski 2 1 Department of Meat Technology and Chemistry, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn, Plac Cieszy´nski1, 10-719 Olsztyn, Poland; [email protected] (M.M.-K.); [email protected] (A.W.) 2 Department of Cattle Breeding and Milk Evaluation, Faculty of Animal Bioengineering, University of Warmia and Mazury in Olsztyn, Oczapowskiego 5, 10-719 Olsztyn, Poland; [email protected] * Correspondence: [email protected]; Tel.: +488-9523-5284 Received: 30 October 2020; Accepted: 18 November 2020; Published: 20 November 2020 Featured Application: The results of this study may have practical applications because an increase in the values of color parameters during beef ageing and the color of beef after blooming will be perceived by consumers as more attractive. Abstract: This study was conducted to determine the optimal blooming time in beef muscles based on DE, and to analyze the effects of muscle type and ageing time on beef color and blooming. Beef color was determined on freshly cut longissimus lumborum (LL, n = 8) and semimembranosus (SM, n = 8) muscles on days 1, 9, and 14 of ageing during 60 min blooming at 5 min intervals. It was found that DE0, representing the difference in color between freshly cut muscles and subsequently analyzed samples, supported the determination of the optimal blooming time, which varied across ageing times (15, 20, 25 min for the LL muscle, and 10, 15, 20 min for the SM muscle on days 1, 9, and 14 of ageing, respectively). -
ADVANCED DISPERSIONS COLOR SELECTION CHART ADVANCED DISPERSIONS Spectrophotometric SPECIALTY COLORANTS Fact Sheet
ADVANCED DISPERSIONS COLOR SELECTION CHART ADVANCED DISPERSIONS Spectrophotometric SPECIALTY COLORANTS Fact Sheet EXPLANATION OF SPECTROPHOTOMETRIC DATA PolyOne certifies our colorants based on CIELAB expression defining the relationship of the batch spectrophotometric color difference data for to the standard. While there is a variety of color each lot of product. difference formulations in use, the CIELAB is The spectrophotometer is coupled with a most commonly used in the plastics and polymer computer, which allows colors to be measured industry because it offers relatively good visual under controlled conditions, and compared to correlation over a wide range of color space. an established standard, resulting in a numerical SPECTROPHOTOMETER CONFIGURATION FOR COA Type: Datacolor Illuminate: D65 Daylight Observer: 10 degree, large area view, specular included EXPLANATION OF SPECTROPHOTOMETRIC VALUES DL* Lightness/Darkness Difference (Delta L*) The shade of gray (black/white) + = Lighter - = Darker Da* Red/Green Color Difference (Delta a*) + = Hue is redder (or less green than) - = Hue is greener (or less red than) Db* Yellow/Blue Color Difference (Delta b*) + = Hue is yellower (or less blue than) - = Hue is bluer (or less yellow than) DC* Difference Attributed to Chromaticity (Delta C*) + = More saturated than (more color intensity) - = Less saturated than (less color intensity) DH* Difference Due to Hue Only (Delta H*) DE* Total Color Difference (Delta E*) DE is a mathematical calculation utilizing the DL*, Da* and Db*, and therefore, used alone this number can be misleading as to the true color of a material. We recommend that our customers visually determine if the color of the product is acceptable. USING THIS CHART This color selection chart is a tool to assist in selecting the proper colorants for specific applications. -
Study of Pantone® Basic Colors in Different Pantone® Libraries
® ® Study of Pantone basic colors in different Pantone libraries Awadhoot Shendye, Paul D. Fleming, and Alexandra Pekarovicova Western Michigan University, College of Engineering and Applied Sciences, Paper Engineering, Chemical Engineering and Imaging Department. Abstract – The Pantone Matching System® (PMS) color library is widely used in packaging, architecture, textile, and fashion industries. The Pantone® color libraries are available in Photoshop® Illustrator® and InDesign® software. Printed Pantone® books and inks are supplied by ink manufacturers, using the same Pantone® numbers. Color differences for some Pantone® numbers were studied for several stages of color reproduction. Large color differences and potential metamerism were observed and reported here. Key words – Pantone, spot color printing, metamerism Introduction standard is sent to the color-matching lab. The Pantone® Color Libraries are extensively used in standard might be a printed shade, a Pantone® packaging and product printing1, and other color number or even a piece of cloth. At some places, critical industries, such as textiles, plastics, a recipe is calculated by trial and error based on architecture and interior design2. These libraries the matcher’s judgment or by computer colorant include the popular Pantone® Matching System formulation software. Generally, acceptance of (PMS) and the newer Goe system colors. They the shade is decided visually and QA/QC is are available in both printed and digital forms2. carried out by using a spectrophotometer. The digital versions are supported by designer Pantone® numbers are used for color software, including Photoshop, Illustrator and communication from designer to ink chemist, InDesign. and from ink chemist to printer4. If any Pantone® In the printing industry, using spot color in shade is in a company’s logo, then to maintain package and product printing is common1. -
Color Concept in Textiles: a Review
Journal of Textile Engineering & Fashion Technology Review Article Open Access Color concept in textiles: a review CIE, international commission on illumina- Abbreviations: Volume 1 Issue 6 - 2017 tion; CCT, correlated color temperature; SED, spectral energy dis- tribution; CMC, color measurement committee; SPD, spectral power Behcet Becerir distribution; MI, metamerism index Faculty of Engineering, Uludag University, Turkey Introduction Correspondence: Behcet Becerir, Faculty of Engineering, Textile Engineering Department, Gorukle Campus, Uludag Color is extremely important in the modern world. In most cases University, 16059 Bursa, Turkey, Email [email protected] color is an important factor in the production of the material and it is often vital to the commercial success of the product. It is obvious Received: April 16, 2017 | Published: May 23, 2017 that a standard system for measuring and specifying color is much desirable. The color of an object depends on many factors, such as lighting, size of sample, and background and surrounding colors. In considering the appearance of an object, factors such as texture and gloss are important, as well as color. Almost all modern color on the object viewed by the observer. The spectral power distribution measurement is based on the CIE (International Commission on which defines an illuminant may not necessarily be exactly realizable Illumination) system of color specification. The system is empirical, by a source. For example, Illuminant A can be obtained in laboratory i.e. is based on experimental observations rather than on theories of conditions, but there is no standard method for obtaining D65 in the color vision.1,2 laboratory. As illuminants refer to an energy distribution, more than one illuminant can be achieved by using only a single source, e.g. -
Color Theory Guide
Contents The Three Dimensions of Color ........................................................................................ 2 Using the Three Dimensions of Color .......................................................................... 2 Special Effects, Pearls and Metallics ................................................................................. 3 Color Shifts and Tri-Coats ................................................................................................. 3 When Colors Flop ............................................................................................................. 4 Techniques for Adjusting Color ......................................................................................... 4 Application .................................................................................................................. 5 Equipment ................................................................................................................... 5 Shop Conditions .......................................................................................................... 5 Solvent ........................................................................................................................ 5 Page 1 Color Theory The Three Dimensions of Color Value, hue and chroma are standard terms used in the color industry to describe the three dimensions of color. Understanding value, hue and chroma is necessary for successful color adjustment. Please refer to the following graphic of the Color Sphere when