GS9 Color Management
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B.Casselman,Mathematical Illustrations,A Manual Of
1 0 0 setrgbcolor newpath 0 0 1 0 360 arc stroke newpath Preface 1 0 1 0 360 arc stroke This book will show how to use PostScript for producing mathematical graphics, at several levels of sophistication. It includes also some discussion of the mathematics involved in computer graphics as well as a few remarks about good style in mathematical illustration. To explain mathematics well often requires good illustrations, and computers in our age have changed drastically the potential of graphical output for this purpose. There are many aspects to this change. The most apparent is that computers allow one to produce graphics output of sheer volume never before imagined. A less obvious one is that they have made it possible for amateurs to produce their own illustrations of professional quality. Possible, but not easy, and certainly not as easy as it is to produce their own mathematical writing with Donald Knuth’s program TEX. In spite of the advances in technology over the past 50 years, it is still not a trivial matter to come up routinely with figures that show exactly what you want them to show, exactly where you want them to show it. This is to some extent inevitable—pictures at their best contain a lot of information, and almost by definition this means that they are capable of wide variety. It is surely not possible to come up with a really simple tool that will let you create easily all the graphics you want to create—the range of possibilities is just too large. -
Investigating the Effect of Color Gamut Mapping Quantitatively and Visually
Rochester Institute of Technology RIT Scholar Works Theses 5-2015 Investigating the Effect of Color Gamut Mapping Quantitatively and Visually Anupam Dhopade Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Dhopade, Anupam, "Investigating the Effect of Color Gamut Mapping Quantitatively and Visually" (2015). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Investigating the Effect of Color Gamut Mapping Quantitatively and Visually by Anupam Dhopade A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Print Media in the School of Media Sciences in the College of Imaging Arts and Sciences of the Rochester Institute of Technology May 2015 Primary Thesis Advisor: Professor Robert Chung Secondary Thesis Advisor: Professor Christine Heusner School of Media Sciences Rochester Institute of Technology Rochester, New York Certificate of Approval Investigating the Effect of Color Gamut Mapping Quantitatively and Visually This is to certify that the Master’s Thesis of Anupam Dhopade has been approved by the Thesis Committee as satisfactory for the thesis requirement for the Master of Science degree at the convocation of May 2015 Thesis Committee: __________________________________________ Primary Thesis Advisor, Professor Robert Chung __________________________________________ Secondary Thesis Advisor, Professor Christine Heusner __________________________________________ Graduate Director, Professor Christine Heusner __________________________________________ Administrative Chair, School of Media Sciences, Professor Twyla Cummings ACKNOWLEDGEMENT I take this opportunity to express my sincere gratitude and thank all those who have supported me throughout the MS course here at RIT. -
Font HOWTO Font HOWTO
Font HOWTO Font HOWTO Table of Contents Font HOWTO......................................................................................................................................................1 Donovan Rebbechi, elflord@panix.com..................................................................................................1 1.Introduction...........................................................................................................................................1 2.Fonts 101 −− A Quick Introduction to Fonts........................................................................................1 3.Fonts 102 −− Typography.....................................................................................................................1 4.Making Fonts Available To X..............................................................................................................1 5.Making Fonts Available To Ghostscript...............................................................................................1 6.True Type to Type1 Conversion...........................................................................................................2 7.WYSIWYG Publishing and Fonts........................................................................................................2 8.TeX / LaTeX.........................................................................................................................................2 9.Getting Fonts For Linux.......................................................................................................................2 -
Ghostscript and Mupdf Status Openprinting Summit April 2016
Ghostscript and MuPDF Status OpenPrinting Summit April 2016 Michael Vrhel, Ph.D. Artifex Software Inc. San Rafael CA Outline Ghostscript overview What is new with Ghostscript MuPDF overview What is new with MuPDF MuPDF vs Ghostscript MuJS, GSView The Basics Ghostscript is a document conversion and rendering engine. Written in C ANSI 1989 standard (ANS X3.159-1989) Essential component of the Linux printing pipeline. Dual AGPL/Proprietary licensed. Artifex owns the copyright. Source and documentation available at www.ghostscript.com Graphical Overview PostScript PCL5e/c with PDF 1.7 XPS Level 3 GL/2 and RTL PCLXL Ghostscript Graphics Library High level Printer drivers: Raster output API: Output drivers: Inkjet TIFF PSwrite PDFwrite Laser JPEG XPSwrite Custom etc. CUPS Devices Understanding devices is a major key to understanding Ghostscript. Devices can have high-level functionality. e.g. pdfwrite can handle text, images, patterns, shading, fills, strokes and transparency directly. Graphics library has “default” operations. e.g. text turns into bitmaps, images decomposed into rectangles. In embedded environments, calls into hardware can be made. Raster devices require the graphics library to do all the rendering. Relevant Changes to GS since last meeting…. A substantial revision of the build system and GhostPDL directory structure (9.18) GhostPCL and GhostXPS "products" are now built by the Ghostscript build system "proper" rather than having their own builds (9.18) New method of internally inserting devices into the device chain developed. Allows easier implementation of “filter” devices (9.18) Implementation of "-dFirstPage"/"-dLastPage" with all input languages (9.18) Relevant Changes to GS since last meeting…. -
Fast and Stable Color Balancing for Images and Augmented Reality
Fast and Stable Color Balancing for Images and Augmented Reality Thomas Oskam 1,2 Alexander Hornung 1 Robert W. Sumner 1 Markus Gross 1,2 1 Disney Research Zurich 2 ETH Zurich Abstract This paper addresses the problem of globally balanc- ing colors between images. The input to our algorithm is a sparse set of desired color correspondences between a source and a target image. The global color space trans- formation problem is then solved by computing a smooth Source Image Target Image Color Balanced vector field in CIE Lab color space that maps the gamut of the source to that of the target. We employ normalized ra- dial basis functions for which we compute optimized shape parameters based on the input images, allowing for more faithful and flexible color matching compared to existing RBF-, regression- or histogram-based techniques. Further- more, we show how the basic per-image matching can be Rendered Objects efficiently and robustly extended to the temporal domain us- Tracked Colors balancing Augmented Image ing RANSAC-based correspondence classification. Besides Figure 1. Two applications of our color balancing algorithm. Top: interactive color balancing for images, these properties ren- an underexposed image is balanced using only three user selected der our method extremely useful for automatic, consistent correspondences to a target image. Bottom: our extension for embedding of synthetic graphics in video, as required by temporally stable color balancing enables seamless compositing applications such as augmented reality. in augmented reality applications by using known colors in the scene as constraints. 1. Introduction even for different scenes. With today’s tools this process re- quires considerable, cost-intensive manual efforts. -
Chapter 13, Using Fonts with X
13 Using Fonts With X Most X clients let you specify the font used to display text in the window, in menus and labels, or in other text fields. For example, you can choose the font used for the text in fvwm menus or in xterm windows. This chapter gives you the information you need to be able to do that. It describes what you need to know to select display fonts for use with X client applications. Some of the topics the chapter covers are: The basic characteristics of a font. The font-naming conventions and the logical font description. The use of wildcards and aliases for simplifying font specification The font search path. The use of a font server for accessing fonts resident on other systems on the network. The utilities available for managing fonts. The use of international fonts and character sets. The use of TrueType fonts. Font technology suffers from a tension between what printers want and what display monitors want. For example, printers have enough intelligence built in these days to know how best to handle outline fonts. Sending a printer a bitmap font bypasses this intelligence and generally produces a lower quality printed page. With a monitor, on the other hand, anything more than bitmapped information is wasted. Also, printers produce more attractive print with variable-width fonts. While this is true for monitors as well, the utility of monospaced fonts usually overrides the aesthetic of variable width for most contexts in which we’re looking at text on a monitor. This chapter is primarily concerned with the use of fonts on the screen. -
Ghostscript 5
Ghostscript 5 Was kann Ghostscript? Installation von Ghostscript Erzeugen von Ghostscript aus den C-Quellen Schnellkurs zur Ghostscript-Benutzung Ghostscript-Referenz Weitere Anwendungsmöglichkeiten Ghostscript-Manual © Thomas Merz 1996-97 ([email protected]) Dieses Manual ist ein modifizierter Auszug aus dem Buch »Die PostScript- & Acrobat-Bibel. Was Sie schon immer über PostScript und Acrobat/PDF wissen wollten« von Thomas Merz; Thomas Merz Verlag München 1996, ISBN 3-9804943-0-6, 440 Seiten plus CD- ROM. Das Buch und dieses Manual sind auch auf Englisch erhältlich (Springer Verlag Berlin Heidelberg New York 1997, ISBN 3-540-60854-0). Das Ghostscript-Manual darf in digitaler oder gedruckter Form kopiert und weitergegeben werden, falls keine Zahlung damit verbunden ist. Kommerzielle Reproduktion ist verboten. Das Manual darf jeoch beliebig zusammen mit der Ghostscript- Software weitergegeben werden, sofern die Lizenzbedingungen von Ghostscript beachtet werden. Das Ghostscript-Manual ist unter folgendem URL erhältlich: http://www.muc.de/~tm. 1 Was kann Ghostscript? L. Peter Deutsch, Inhaber der Firma Aladdin Enterprises im ka- lifornischen Palo Alto, schrieb den PostScript-Interpreter Ghostscript in der Programmiersprache C . Das Programm läuft auf MS-DOS, Windows 3.x, Windows 95, Windows NT, OS/2, Macintosh, Unix und VAX/VMS. Die Ursprünge von Ghost- script reichen bis 1988 zurück. Seither steht das Programmpa- ket kostenlos zur Verfügung und mauserte sich unter tatkräfti- ger Mitwirkung vieler Anwender und Entwickler aus dem In- ternet zu einem wesentlichen Bestandteil vieler Computerinstallationen. Peter Deutsch vertreibt auch eine kommerzielle Version von Ghostscript mit kundenspezifischen Anpassungen und entsprechendem Support. Die wichtigsten Einsatzmöglichkeiten von Ghostscript sind: Bildschirmausgabe. Ghostscript stellt PostScript- und PDF- Dateien am Bildschirm dar. -
Typesetting Music with PMX
Typesetting music with PMX by Cornelius C. Noack — Version 2.7 / January 2012 (PMX features up to version 2.617 included) II Acknowledgement This tutorial owes its very existence to the work by Luigi Cataldi, who a few years ago produced a wonderful manual for PMX in Italian. Luigi’s manual features many examples which help greatly in understanding some of the arguably arcane PMX notation. Even though the Cataldi manual is, as Don Simons has aptly remarked, “written in the language of music”, it nevertheless seemed useful to have access to it for non-Italian speakers, so Don asked around for help on a ‘retranslation’. In fact, that is what the present tutorial started out with: essentially a retranslation of the PMX part of Luigis manual back into English, us- ing, where that seemed feasible, Don’s original PMX manual. I had been thinking for some time of producing some examples (and an index) for the updated (PMX 2.40) version of that manual, and now, taking Luigis italian version as a basis, it seemed an easy thing to do. Of course, as such projects go: soon after the first version had appeared in 2002, it tended to get out of hand — Don Simons actively produced one new beta version of PMX after the other, and I simply could not keep up with his pace. So alas: 5 long years went by before the first update of the tutorial – re- flecting all PMX changes from Version 2.40 to Version 2.514 , in one giant step! – had become possible. -
Hiding Color Watermarks in Halftone Images Using Maximum-Similarity
Signal Processing: Image Communication 48 (2016) 1–11 Contents lists available at ScienceDirect Signal Processing: Image Communication journal homepage: www.elsevier.com/locate/image Hiding color watermarks in halftone images using maximum- similarity binary patterns Pedro Garcia Freitas a,n, Mylène C.Q. Farias b, Aletéia P.F. Araújo a a Department of Computer Science, University of Brasília (UnB), Brasília, Brazil b Department of Electrical Engineering, University of Brasília (UnB), Brasília, Brazil article info abstract Article history: This paper presents a halftoning-based watermarking method that enables the embedding of a color Received 3 June 2016 image into binary black-and-white images. To maintain the quality of halftone images, the method maps Received in revised form watermarks to halftone channels using homogeneous dot patterns. These patterns use a different binary 25 August 2016 texture arrangement to embed the watermark. To prevent a degradation of the host image, a max- Accepted 25 August 2016 imization problem is solved to reduce the associated noise. The objective function of this maximization Available online 26 August 2016 problem is the binary similarity measure between the original binary halftone and a set of randomly Keywords: generated patterns. This optimization problem needs to be solved for each dot pattern, resulting in Color embedding processing overhead and a long running time. To overcome this restriction, parallel computing techni- Halftone ques are used to decrease the processing time. More specifically, the method is tested using a CUDA- Color restoration based parallel implementation, running on GPUs. The proposed technique produces results with high Watermarking Enhancement visual quality and acceptable processing time. -
14. Color Mapping
14. Color Mapping Jacobs University Visualization and Computer Graphics Lab Recall: RGB color model Jacobs University Visualization and Computer Graphics Lab Data Analytics 691 CMY color model • The CMY color model is related to the RGB color model. •Itsbasecolorsare –cyan(C) –magenta(M) –yellow(Y) • They are arranged in a 3D Cartesian coordinate system. • The scheme is subtractive. Jacobs University Visualization and Computer Graphics Lab Data Analytics 692 Subtractive color scheme • CMY color model is subtractive, i.e., adding colors makes the resulting color darker. • Application: color printers. • As it only works perfectly in theory, typically a black cartridge is added in practice (CMYK color model). Jacobs University Visualization and Computer Graphics Lab Data Analytics 693 CMY color cube • All colors c that can be generated are represented by the unit cube in the 3D Cartesian coordinate system. magenta blue red black grey white cyan yellow green Jacobs University Visualization and Computer Graphics Lab Data Analytics 694 CMY color cube Jacobs University Visualization and Computer Graphics Lab Data Analytics 695 CMY color model Jacobs University Visualization and Computer Graphics Lab Data Analytics 696 CMYK color model Jacobs University Visualization and Computer Graphics Lab Data Analytics 697 Conversion • RGB -> CMY: • CMY -> RGB: Jacobs University Visualization and Computer Graphics Lab Data Analytics 698 Conversion • CMY -> CMYK: • CMYK -> CMY: Jacobs University Visualization and Computer Graphics Lab Data Analytics 699 HSV color model • While RGB and CMY color models have their application in hardware implementations, the HSV color model is based on properties of human perception. • Its application is for human interfaces. Jacobs University Visualization and Computer Graphics Lab Data Analytics 700 HSV color model The HSV color model also consists of 3 channels: • H: When perceiving a color, we perceive the dominant wavelength. -
A Color Temperature-Based High-Speed Decolorization: an Empirical Approach for Tone Mapping Applications
1 A color temperature-based high-speed decolorization: an empirical approach for tone mapping applications Prasoon Ambalathankandy ID˙ , Yafei Ou ID˙ , and Masayuki Ikebe ID˙ Abstract—Grayscale images are fundamental to many image into global and local methods. Global methods can define processing applications like data compression, feature extraction, only one conversion function for all pixels, and most of printing and tone mapping. However, some image information these methods use all pixels in the image to determine the is lost when converting from color to grayscale. In this paper, we propose a light-weight and high-speed image decolorization function. On the other hand, local ones process the target method based on human perception of color temperatures. from neighboring pixels in the same way as a spatial filter, Chromatic aberration results from differential refraction of light the function is different for each pixel. However, both types depending on its wavelength. It causes some rays corresponding of methods face the issue of calculation cost, which comes to cooler colors (like blue, green) to converge before the warmer from optimization iterations or spatial filter processing. colors (like red, orange). This phenomena creates a perception of warm colors “advancing” toward the eye, while the cool colors We have developed a fast decolorization method that reflects to be “receding” away. In this proposed color to gray conversion the perception of warm and cool colors which is well known model, we implement a weighted blending function to combine in psychophysics studies [1]. Colors are arranged according to red (perceived warm) and blue (perceived cool) channel. -
Colormap : a Data-Driven Approach and Tool for Mapping Multivariate
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 24, NO. X, XXXXX 2018 1 ND 1 ColorMap : A Data-Driven Approach and Tool 2 for Mapping Multivariate Data to Color 3 Shenghui Cheng, Wei Xu, Member, IEEE, and Klaus Mueller, Senior Member, IEEE 4 Abstract—A wide variety of color schemes have been devised for mapping scalar data to color. We address the challenge of 5 color-mapping multivariate data. While a number of methods can map low-dimensional data to color, for example, using bilinear 6 or barycentric interpolation for two or three variables, these methods do not scale to higher data dimensions. Likewise, schemes that 7 take a more artistic approach through color mixing and the like also face limits when it comes to the number of variables they can 8 encode. Our approach does not have these limitations. It is data driven in that it determines a proper and consistent color map from first 9 embedding the data samples into a circular interactive multivariate color mapping display (ICD) and then fusing this display with a 10 convex (CIE HCL) color space. The variables (data attributes) are arranged in terms of their similarity and mapped to the ICD’s 11 boundary to control the embedding. Using this layout, the color of a multivariate data sample is then obtained via modified generalized 12 barycentric coordinate interpolation of the map. The system we devised has facilities for contrast and feature enhancement, supports 13 both regular and irregular grids, can deal with multi-field as well as multispectral data, and can produce heat maps, choropleth maps, 14 and diagrams such as scatterplots.