Colour in Computer Graphics
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Understanding Color and Gamut Poster
Understanding Colors and Gamut www.tektronix.com/video Contact Tektronix: ASEAN / Australasia (65) 6356 3900 Austria* 00800 2255 4835 Understanding High Balkans, Israel, South Africa and other ISE Countries +41 52 675 3777 Definition Video Poster Belgium* 00800 2255 4835 Brazil +55 (11) 3759 7627 This poster provides graphical Canada 1 (800) 833-9200 reference to understanding Central East Europe and the Baltics +41 52 675 3777 high definition video. Central Europe & Greece +41 52 675 3777 Denmark +45 80 88 1401 Finland +41 52 675 3777 France* 00800 2255 4835 To order your free copy of this poster, please visit: Germany* 00800 2255 4835 www.tek.com/poster/understanding-hd-and-3g-sdi-video-poster Hong Kong 400-820-5835 India 000-800-650-1835 Italy* 00800 2255 4835 Japan 81 (3) 6714-3010 Luxembourg +41 52 675 3777 MPEG-2 Transport Stream Advanced Television Systems Committee (ATSC) Mexico, Central/South America & Caribbean 52 (55) 56 04 50 90 ISO/IEC 13818-1 International Standard Program and System Information Protocol (PSIP) for Terrestrial Broadcast and cable (Doc. A//65B and A/69) System Time Table (STT) Rating Region Table (RRT) Direct Channel Change Table (DCCT) ISO/IEC 13818-2 Video Levels and Profiles MPEG Poster ISO/IEC 13818-1 Transport Packet PES PACKET SYNTAX DIAGRAM 24 bits 8 bits 16 bits Syntax Bits Format Syntax Bits Format Syntax Bits Format 4:2:0 4:2:2 4:2:0, 4:2:2 1920x1152 1920x1088 1920x1152 Packet PES Optional system_time_table_section(){ rating_region_table_section(){ directed_channel_change_table_section(){ High Syntax -
Paquete En Python Para La Reducción De Dimensionalidad En Imágenes a Color
Departamento De Computación Título: Paquete en Python para la reducción de dimensionalidad en imágenes a color. Autora: Liliam Fernández Cabrera. Cabrera. Tutor: M.Sc. Roberto Díaz Amador. Santa Clara, Cuba, 2018 Este documento es Propiedad Patrimonial de la Universidad Central “Marta Abreu” de Las Villas, y se encuentra depositado en los fondos de la Biblioteca Universitaria “Chiqui Gómez Lubian” subordinada a la Dirección de Información Científico Técnica de la mencionada casa de altos estudios. Se autoriza su utilización bajo la licencia siguiente: Atribución- No Comercial- Compartir Igual Para cualquier información contacte con: Dirección de Información Científico Técnica. Universidad Central “Marta Abreu” de Las Villas. Carretera a Camajuaní. Km 5½. Santa Clara. Villa Clara. Cuba. CP. 54 830 Teléfonos.: +53 01 42281503-1419 i La que suscribe Liliam Fernández Cabrera, hago constar que el trabajo titulado Paquete en Python para la redimensionalidad de imágenes a color fue realizado en la Universidad Central “Marta Abreu” de Las Villas como parte de la culminación de los estudios de la especialidad de Licenciatura en Ciencias de la Computación, autorizando a que el mismo sea utilizado por la institución, para los fines que estime conveniente, tanto de forma parcial como total y que además no podrá ser presentado en eventos ni publicado sin la autorización de la Universidad. ______________________ Firma del Autor Los abajo firmantes, certificamos que el presente trabajo ha sido realizado según acuerdos de la dirección de nuestro centro y el mismo cumple con los requisitos que debe tener un trabajo de esta envergadura referido a la temática señalada. ____________________________ ___________________________ Firma del Tutor Firma del Jefe del Laboratorio ii RESUMEN Un enfoque eficiente de las técnicas del procesamiento digital de imágenes permite dar solución a muchas problemáticas en los campos investigativos que precisan del uso de imágenes para búsquedas de información. -
Computational Color Harmony Based on Coloroid System
Computational Aesthetics in Graphics, Visualization and Imaging (2005) L. Neumann, M. Sbert, B. Gooch, W. Purgathofer (Editors) Computational Color Harmony based on Coloroid System László Neumanny, Antal Nemcsicsz, and Attila Neumannx yGrup de Gràfics de Girona, Universitat de Girona, and Institució Catalana de Recerca i Estudis Avançats, ICREA, Barcelona, Spain zBudapest University of Technology and Economics, Hungary xInstitute of Computer Graphics and Algorithms, Vienna University of Technology, Austria [email protected], [email protected], [email protected] (a) (b) Figure 1: (a) visualization of the overall appearance of a dichromatic color set with `caleidoscope' option of the Color Plan Designer software and (b) interactive color selection of a dichromatic color set in multi-layer mode, applying rotated regular grid. Abstract This paper presents experimentally based rules and methods for the creation of harmonic color sets. First, dichro- matic rules are presented which concern the harmony relationships of two hues. For an arbitrarily given hue pair, we define the just harmonic saturation values, resulting in minimally harmonic color pairs. These values express the fuzzy border between harmony and disharmony regions using a single scalar. Second, the value of harmony is defined corresponding to the contrast of lightness, i.e. the difference of perceptual lightness values. Third, we formulate the harmony value of the saturation contrast, depending on hue and lightness. The results of these investigations form a basis for a unified, coherent dichromatic harmony formula as well as for analysis of polychromatic color harmony. Introduced color harmony rules are based on Coloroid, which is one of the 5 6 main color-order systems and − furthermore it is an aesthetically uniform continuous color space. -
Creating 4K/UHD Content Poster
Creating 4K/UHD Content Colorimetry Image Format / SMPTE Standards Figure A2. Using a Table B1: SMPTE Standards The television color specification is based on standards defined by the CIE (Commission 100% color bar signal Square Division separates the image into quad links for distribution. to show conversion Internationale de L’Éclairage) in 1931. The CIE specified an idealized set of primary XYZ SMPTE Standards of RGB levels from UHDTV 1: 3840x2160 (4x1920x1080) tristimulus values. This set is a group of all-positive values converted from R’G’B’ where 700 mv (100%) to ST 125 SDTV Component Video Signal Coding for 4:4:4 and 4:2:2 for 13.5 MHz and 18 MHz Systems 0mv (0%) for each ST 240 Television – 1125-Line High-Definition Production Systems – Signal Parameters Y is proportional to the luminance of the additive mix. This specification is used as the color component with a color bar split ST 259 Television – SDTV Digital Signal/Data – Serial Digital Interface basis for color within 4K/UHDTV1 that supports both ITU-R BT.709 and BT2020. 2020 field BT.2020 and ST 272 Television – Formatting AES/EBU Audio and Auxiliary Data into Digital Video Ancillary Data Space BT.709 test signal. ST 274 Television – 1920 x 1080 Image Sample Structure, Digital Representation and Digital Timing Reference Sequences for The WFM8300 was Table A1: Illuminant (Ill.) Value Multiple Picture Rates 709 configured for Source X / Y BT.709 colorimetry ST 296 1280 x 720 Progressive Image 4:2:2 and 4:4:4 Sample Structure – Analog & Digital Representation & Analog Interface as shown in the video ST 299-0/1/2 24-Bit Digital Audio Format for SMPTE Bit-Serial Interfaces at 1.5 Gb/s and 3 Gb/s – Document Suite Illuminant A: Tungsten Filament Lamp, 2854°K x = 0.4476 y = 0.4075 session display. -
Color Space Conversion
L Technical Color Space Information Conversion The role of color space conversion in the process of scanning and reproduc- ing a color image begins the moment an image is captured by a scanner and continues through the point at which it is output on film. For the purpose of this article we will discuss conversions between three types of color systems: RGB, CIE, and CMYK. The RGB (Red, Green, & Blue) and CMYK (Cyan, Magenta, Yellow, & Black) color models have been described in greater detail in the Linotype-Hell Technical information piece entitled Color in Printing. For some background information on the CIE (Commission Internationale de l’Eclairage), please refer to Color Spaces and PostScript Level 2. CIE as a reference color space Most scanners acquire color in the form of RGB data. The majority of non- photographic printing methods employ CMYK inks or toners. In a closed sys- tem, where the characteristics of both the scanner and the printing method are well-defined, conversions may be made from RGB to CMYK through tables that maintain a reasonable level of color consistency. The process becomes somewhat more difficult as you add monitors, other scanners, proofing devices or printing processes that have different characteristics. It becomes critical to have a consistent yardstick, if you will, a means of con- verting between different color systems (and back again) without a loss in color fidelity. This is what CIE provides. Let’s start with some background on CIE, and then we will look at how it can be applied in an open system. Measuring color Light reflected off of, or transmitted through a colored object can be mea- sured by the wavelengths of light that are reflected or transmitted. -
Package 'Colorspace'
Package ‘colorspace’ February 15, 2013 Version 1.2-1 Date 2013-01-24 Title Color Space Manipulation Description Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV),CIELAB and po- lar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided. Depends R (>= 2.10.0), methods Suggests KernSmooth, MASS, kernlab, mvtnorm, vcd, tcltk, dichromat License BSD LazyData yes Author Ross Ihaka [aut], Paul Murrell [aut], Kurt Hornik [aut], Jason C. Fisher [aut], Achim Zeileis [aut, cre] Maintainer Achim Zeileis <[email protected]> Repository CRAN Date/Publication 2013-01-24 14:59:08 NeedsCompilation yes R topics documented: choose_palette . .2 color-class . .3 coords . .4 desaturate . .5 hex..............................................6 hex2RGB . .7 HLS.............................................8 1 2 choose_palette HSV.............................................9 LAB............................................. 10 LUV............................................. 11 mixcolor . 12 polarLAB . 13 polarLUV . 14 rainbow_hcl . 15 readhex . 18 readRGB . 19 RGB............................................. 20 sRGB ............................................ 21 USSouthPolygon . 22 writehex . 22 XYZ............................................. 23 Index 25 choose_palette Graphical User Interface for Choosing HCL Color Palettes Description A graphical user interface (GUI) for viewing, manipulating, and choosing HCL color palettes. Usage choose_palette(pal -
Verfahren Zur Farbanpassung F ¨Ur Electronic Publishing-Systeme
Verfahren zur Farbanpassung f ¨ur Electronic Publishing-Systeme Von dem Fachbereich Elektrotechnik und Informationstechnik der Universit¨atHannover zur Erlangung des akademischen Grades Doktor-Ingenieur genehmigte Dissertation von Dipl.-Ing. Wolfgang W¨olker geb. am 7. Juli 1957, in Herford 1999 Referent: Prof. Dr.-Ing. C.-E. Liedtke Korreferent: Prof. Dr.-Ing. K. Jobmann Tag der Promotion: 18.01.1999 Kurzfassung Zuk ¨unftigePublikationssysteme ben¨otigenleistungsstarke Verfahren zur Farb- bildbearbeitung, um den hohen Durchsatz insbesondere der elektronischen Me- dien bew¨altigenzu k¨onnen. Dieser Beitrag beschreibt ein System f ¨urdie automatisierte Farbmanipulation von Einzelbildern. Die derzeit vorwiegend manuell ausgef ¨uhrtenAktionen wer- den durch hochsprachliche Vorgaben ersetzt, die vom System interpretiert und ausgef ¨uhrtwerden. Basierend auf einem hier vorgeschlagenen Grundwortschatz zur Farbmanipulation sind Modifikationen und Erweiterungen des Wortschat- zes durch neue abstrakte Begriffe m¨oglich.Die Kombination mehrerer bekannter Begriffe zu einem neuen abstrakten Begriff f ¨uhrtdabei zu funktionserweitern- den, komplexen Aktionen. Dar ¨uberhinaus pr¨agendiese Erg¨anzungenden in- dividuellen Wortschatz des jeweiligen Anwenders. Durch die hochsprachliche Schnittstelle findet eine Entkopplung der Benutzervorgaben von der technischen Umsetzung statt. Die farbverarbeitenden Methoden lassen sich so im Hinblick auf die verwendeten Farbmodelle optimieren. Statt der bisher ¨ublichenmedien- und ger¨atetechnischbedingten Farbmodelle kann nun z.B. das visuell adaptierte CIE(1976)-L*a*b*-Modell genutzt werden. Die damit m¨oglichenfarbverarbeiten- den Methoden erlauben umfangreiche und wirksame Eingriffe in die Farbdar- stellung des Bildes. Zielsetzung des Verfahrens ist es, unter Verwendung der vorgeschlagenen Be- nutzerschnittstelle, die teilweise wenig anschauliche Parametrisierung bestimm- ter Farbmodelle, durch einen hochsprachlichen Zugang zu ersetzen, der den An- wender bei der Farbbearbeitung unterst ¨utztund den Experten entlastet. -
Spectral Primary Decomposition for Rendering with RGB Reflectance
Eurographics Symposium on Rendering (DL-only Track) (2019) T. Boubekeur and P. Sen (Editors) Spectral Primary Decomposition for Rendering with sRGB Reflectance Ian Mallett1 and Cem Yuksel1 1University of Utah Ground Truth Our Method Meng et al. 2015 D65 Environment 35 Error (Noise & Imprecision) Error (Color Distortion) E D CIE76 0:0 Lambertian Plane Figure 1: Spectral rendering of a texture containing the entire sRGB gamut as the Lambertian albedo for a plane under a D65 environment. In this configuration, ideally, rendered sRGB pixels should match the texture’s values. Prior work by Meng et al. [MSHD15] produces noticeable color distortion, whereas our method produces no error beyond numerical precision and Monte Carlo sampling noise (the magnitude of the DE induced by this noise varies with the image because sRGB is perceptually nonlinear). Contemporary work [JH19] is also nearly able to achieve this, but at a significant implementation and memory cost. Abstract Spectral renderers, as-compared to RGB renderers, are able to simulate light transport that is closer to reality, capturing light behavior that is impossible to simulate with any three-primary decomposition. However, spectral rendering requires spectral scene data (e.g. textures and material properties), which is not widely available, severely limiting the practicality of spectral rendering. Unfortunately, producing a physically valid reflectance spectrum from a given sRGB triple has been a challenging problem, and indeed until very recently constructing a spectrum without colorimetric round-trip error was thought to be impos- sible. In this paper, we introduce a new procedure for efficiently generating a reflectance spectrum from any given sRGB input data. -
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. -
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 -
Color Harmony: Experimental and Computational Modeling
Color harmony : experimental and computational modeling Christel Chamaret To cite this version: Christel Chamaret. Color harmony : experimental and computational modeling. Image Processing [eess.IV]. Université Rennes 1, 2016. English. NNT : 2016REN1S015. tel-01382750 HAL Id: tel-01382750 https://tel.archives-ouvertes.fr/tel-01382750 Submitted on 17 Oct 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ANNEE´ 2016 THESE` / UNIVERSITE´ DE RENNES 1 sous le sceau de l'Universit´eBretagne Loire pour le grade de DOCTEUR DE L'UNIVERSITE´ DE RENNES 1 Mention : Informatique Ecole doctorale Matisse pr´esent´eepar Christel Chamaret pr´epar´ee`al'IRISA (Institut de recherches en informatique et syst`emesal´eatoires) et Technicolor Th`esesoutenue `aRennes Color Harmony: le 28 Avril 2016 experimental and devant le jury compos´ede : Pr Alain Tr´emeau Professeur, Universit´ede Saint-Etienne / rapporteur computational Dr Vincent Courboulay Ma^ıtre de conf´erences HDR, Universit´e de La modeling. Rochelle / rapporteur Pr Patrick Le Callet Professeur, Universit´ede Nantes / examinateur Dr Frederic Devinck Ma^ıtrede conf´erencesHDR, Universit´ede Rennes 2 / examinateur Pr Luce Morin Professeur, INSA Rennes / examinateur Dr Olivier Le Meur Ma^ıtrede conf´erencesHDR, Universit´ede Rennes 1 / directeur de th`ese Abstract While the consumption of digital media exploded in the last decade, consequent improvements happened in the area of medical imaging, leading to a better understanding of vision mechanisms. -
Color Spaces YCH and Ysch for Color Specification and Image Processing in Multi-Core Computing and Mobile Systems
Programación Matemática y Software (2012) Vol. 4. No 2. ISSN: 2007-3283 Recibido: 14 de septiembre del 2011 Aceptado: 3 de enero del 2012 Publicado en línea: 8 de enero del 2013 Color spaces YCH and YScH for color specification and image processing in multi-core computing and mobile systems Yuriy Kotsarenko, Fernando Ramos Tecnológico de Monterrey, Campus Cuernavaca [email protected], [email protected] Resumen. En este trabajo dos nuevos espacios de color se describen para especificación de colores y procesamiento de imágenes utilizando la forma cilíndrica del espacio de color YIQ. Los espacios de colores clásicos tales como HSL y HSV no toman en cuenta la visión humana y son perceptualmente inexactos. Los espacios de colores perceptualmente uniformes como CIELAB y CIELUV son muy costosos computacionalmente para aplicaciones interactivas de tiempo real y son difíciles de implementar. Las alternativas propuestas, por otro lado, tienen un balance entre uniformidad perceptual, desempeño y simplicidad de cálculo. Estos espacios modelan colores de forma más exacta y son rápidos de calcular. Los resultados experimentales en este trabajo comparan espacios de colores clásicos con los propuestos en términos de uniformidad, riqueza de colores y desempeño, incluyendo numerosas pruebas de rapidez en procesadores de varios núcleos y sistemas móviles tales como ultra portátiles y los tablets tipo iPad. Los resultados evidencian que los espacios de colores propuestos son mejores alternativas para la industria de computación donde actualmente se utilicen los espacios de colores clásicos. Abstract. Two novel color spaces are described for color specification and image processing using cylindrical variants of YIQ color space.