Chapter 2 Fundamentals of Digital Imaging
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Impact of Properties of Thermochromic Pigments on Knitted Fabrics
International Journal of Scientific & Engineering Research, Volume 7, Issue 4, April-2016 1693 ISSN 2229-5518 Impact of Properties of Thermochromic Pigments on Knitted Fabrics 1Dr. Jassim M. Abdulkarim, 2Alaa K. Khsara, 3Hanin N. Al-Kalany, 4Reham A. Alresly Abstract—Thermal dye is one of the important indicators when temperature is changed. It is used in medical, domestic and electronic applications. It indicates the change in chemical and thermal properties. In this work it is used to indicate the change in human body temperature where the change in temperature between (30 – 41 oC) is studied .The change in color begin to be clear at (30 oC). From this study it is clear that heat flux increased (81%) between printed and non-printed clothes which is due to the increase in heat transfer between body and the printed cloth. The temperature has been increased to the maximum level that the human body can reach and a gradual change in color is observed which allow the use of this dye on baby clothes to indicate the change in baby body temperature and monitoring his medical situation. An additional experiment has been made to explore the change in physical properties to the used clothe after the printing process such as air permeability which shows a clear reduction in this property on printed region comparing with the unprinted region, the reduction can reach (70%) in this property and in some type of printing the reduction can reach (100%) which give non permeable surface. Dye fitness can also be increased by using binders and thickeners and the reduction in dyes on the surface of cloth is reached (15%) after (100) washing cycle. -
Color Models
Color Models Jian Huang CS456 Main Color Spaces • CIE XYZ, xyY • RGB, CMYK • HSV (Munsell, HSL, IHS) • Lab, UVW, YUV, YCrCb, Luv, Differences in Color Spaces • What is the use? For display, editing, computation, compression, …? • Several key (very often conflicting) features may be sought after: – Additive (RGB) or subtractive (CMYK) – Separation of luminance and chromaticity – Equal distance between colors are equally perceivable CIE Standard • CIE: International Commission on Illumination (Comission Internationale de l’Eclairage). • Human perception based standard (1931), established with color matching experiment • Standard observer: a composite of a group of 15 to 20 people CIE Experiment CIE Experiment Result • Three pure light source: R = 700 nm, G = 546 nm, B = 436 nm. CIE Color Space • 3 hypothetical light sources, X, Y, and Z, which yield positive matching curves • Y: roughly corresponds to luminous efficiency characteristic of human eye CIE Color Space CIE xyY Space • Irregular 3D volume shape is difficult to understand • Chromaticity diagram (the same color of the varying intensity, Y, should all end up at the same point) Color Gamut • The range of color representation of a display device RGB (monitors) • The de facto standard The RGB Cube • RGB color space is perceptually non-linear • RGB space is a subset of the colors human can perceive • Con: what is ‘bloody red’ in RGB? CMY(K): printing • Cyan, Magenta, Yellow (Black) – CMY(K) • A subtractive color model dye color absorbs reflects cyan red blue and green magenta green blue and red yellow blue red and green black all none RGB and CMY • Converting between RGB and CMY RGB and CMY HSV • This color model is based on polar coordinates, not Cartesian coordinates. -
Chapter 6 : Color Image Processing
Chapter 6 : Color Image Processing CCU, Taiwan Wen-Nung Lie Color Fundamentals Spectrum that covers visible colors : 400 ~ 700 nm Three basic quantities Radiance : energy that flows from the light source (measured in Watts) Luminance : a measure of energy an observer perceives from a light source (in lumens) Brightness : a subjective descriptor difficult to measure CCU, Taiwan Wen-Nung Lie 6-1 About human eyes Primary colors for standardization blue : 435.8 nm, green : 546.1 nm, red : 700 nm Not all visible colors can be produced by mixing these three primaries in various intensity proportions Cones in human eyes are divided into three sensing categories 65% are sensitive to red light, 33% sensitive to green light, 2% sensitive to blue (but most sensitive) The R, G, and B colors perceived by CCU, Taiwan human eyes cover a range of spectrum Wen-Nung Lie 6-2 Primary and secondary colors of light and pigments Secondary colors of light magenta (R+B), cyan (G+B), yellow (R+G) R+G+B=white Primary colors of pigments magenta, cyan, and yellow M+C+Y=black CCU, Taiwan Wen-Nung Lie 6-3 Chromaticity Hue + saturation = chromaticity hue : an attribute associated with the dominant wavelength or dominant colors perceived by an observer saturation : relative purity or the amount of white light mixed with a hue (the degree of saturation is inversely proportional to the amount of added white light) Color = brightness + chromaticity Tristimulus values (the amount of R, G, and B needed to form any particular color : X, Y, Z trichromatic -
In Concert with Teaching Strategies That Have a Solid Theoretical Basis
1 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in “Teaching and Learning Technology”. In Section 1 of this course you will cover these topics: Learning And Instruction Computer Applications In Education The Impact Of The Computer On Education Topic : Learning And Instruction Topic Objective: At the end of this topic student would be able to understand: Computer's Role In Instruction Instructional Technology Early Applications The Internet Era Outcomes Research Social Context Gagne's Nine Events of Instruction Definition/Overview: The first topic establishes a framework for looking at the computer's role in instruction and examines its role in student learning. A brief review of behaviorist and constructivist theories of instruction and learning is presented. The intent is to demonstrate that the computer can be a practical tool usedWWW.BSSVE.IN in concert with teaching strategies that have a solid theoretical basis. We recognize that thinking patterns and learning styles vary and that many different cognitive processes and intelligences should be valued. This topic presents a brief overview of types of intelligences, perception and motivation in order to emphasize the importance of analyzing student populations and matching instructional materials to student needs. Recognizing the important role that software plays in instruction and learning, a good deal of discussion takes place on the selection and evaluation of effective software. www.bsscommunitycollege.in www.bssnewgeneration.in www.bsslifeskillscollege.in 2 www.onlineeducation.bharatsevaksamaj.net www.bssskillmission.in Key Points: 1.Computer's Role in Instruction American education has long incorporated technology in K-12 classrooms tape recorders, televisions, calculators, computers, and many others. -
PANTONE® Colorwebtm 1.0 COLORWEB USER MANUAL
User Manual PANTONE® ColorWebTM 1.0 COLORWEB USER MANUAL Copyright Pantone, Inc., 1996. All rights reserved. PANTONE® Computer Video simulations used in this product may not match PANTONE®-identified solid color standards. Use current PANTONE Color Reference Manuals for accurate color. All trademarks noted herein are either the property of Pantone, Inc. or their respective companies. PANTONE® ColorWeb™, ColorWeb™, PANTONE Internet Color System™, PANTONE® ColorDrive®, PANTONE Hexachrome™† and Hexachrome™ are trademarks of Pantone, Inc. Macintosh, Power Macintosh, System 7.xx, Macintosh Drag and Drop, Apple ColorSync and Apple Script are registered trademarks of Apple® Computer, Inc. Adobe Photoshop™ and PageMill™ are trademarks of Adobe Systems Incorporated. Claris Home Page is a trademark of Claris Corporation. Netscape Navigator™ Gold is a trademark of Netscape Communications Corporation. HoTMetaL™ is a trademark of SoftQuad Inc. All other products are trademarks or registered trademarks of their respective owners. † Six-color Process System Patent Pending - Pantone, Inc.. PANTONE ColorWeb Team: Mark Astmann, Al DiBernardo, Ithran Einhorn, Andrew Hatkoff, Richard Herbert, Rosemary Morretta, Stuart Naftel, Diane O’Brien, Ben Sanders, Linda Schulte, Ira Simon and Annmarie Williams. 1 COLORWEB™ USER MANUAL WELCOME Thank you for purchasing PANTONE® ColorWeb™. ColorWeb™ contains all of the resources nec- essary to ensure accurate, cross-platform, non-dithered and non-substituting colors when used in the creation of Web pages. ColorWeb works with any Web authoring program and makes it easy to choose colors for use within the design of Web pages. By using colors from the PANTONE Internet Color System™ (PICS) color palette, Web authors can be sure their page designs have rich, crisp, solid colors, no matter which computer platform these pages are created on or viewed. -
A Method of Content-Based Image Retrieval for the Generation of Image Mosaics
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2007 A Method Of Content-based Image Retrieval For The Generation Of Image Mosaics Michael Snead University of Central Florida Part of the Computer Engineering Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Masters Thesis (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Snead, Michael, "A Method Of Content-based Image Retrieval For The Generation Of Image Mosaics" (2007). Electronic Theses and Dissertations, 2004-2019. 3358. https://stars.library.ucf.edu/etd/3358 A METHOD OF CONTENT-BASED IMAGE RETRIEVAL FOR THE GENERATION OF IMAGE MOSAICS by MICHAEL CHRISTOPHER SNEAD B.S. University of Central Florida, 2005 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the School of Electrical Engineering and Computer Science in the College of Engineering & Computer Science at the University of Central Florida Orlando, Florida Spring Term 2007 © 2007 Michael Christopher Snead ii ABSTRACT An image mosaic is an artistic work that uses a number of smaller images creatively combined together to form another larger image. Each building block image, or tessera, has its own distinctive and meaningful content, but when viewed from a distance the tesserae come together to form an aesthetically pleasing montage. This work presents the design and implementation of MosaiX, a computer software system that generates these image mosaics automatically. -
First Semester
NATIONAL UNIVERSITY F o u r t h Y e a r S y l l a b u s D e p a r t m e n t of Computer Science and Engineering Four Year B.Sc. Honours Course Effective from the Session: 2017–2018 National University Subject: Computer Science and Engineering Syllabus for Four Year B.Sc. Honours Course Effective from the Session: 2017-2018 Year wise courses and marks distribution FOURTH YEAR Semester VII Course Code Course Title Credit Hours 540201 Artificial Intelligence 3.0 540202 Artificial Intelligence Lab 1.5 540203 Compiler Design and Construction 3.0 540204 Compiler Design Lab 1.5 540205 Computer Graphics 3.0 540206 Computer Graphics Lab 1.5 540207 E-Commerce and Web Engineering 3.0 540208 E-Commerce and Web Engineering Lab 1.5 Total Credits in 7th Semester 18.0 Semester VIII Course Code Course Title Credit Hours Major Theory Courses 540209 Network and Information Security 3.0 540210 Network and Information Security Lab 1.5 540211 Information System Management 3.0 Project/Industry Attachment 540240 Project/Industry Attachment 6.0 Optional Course (any one) 3.0 540212 Simulation and Modeling 540214 Parallel and Distributed Systems 540216 Digital Signal Processing 540218 Digital Image Processing 540220 Multimedia 540222 Pattern Recognition 540224 Design and Analysis of VLSI Systems 540226 Micro-controller and Embedded System 540228 Cyber Law and Computer Forensic 540230 Natural Language Processing 540232 System Analysis and Design 540234 Optical Fiber Communication 540236 Human Computer Interaction 540238 Graph Theory Page 2 of 18 Optional Course -
Adobe Photoshop 7.0 Design Professional
Adobe Photoshop CS Design Professional INCORPORATING COLOR TECHNIQUES Chapter Lessons Work with color to transform an image User the Color Picker and the Swatches palette Place a border around an image Blend colors using the Gradient Tool Add color to a grayscale image Use filters, opacity, and blending modes Match colors Incorporating Color Techniques Chapter D 2 Incorporating Color Techniques Using Color Develop an understanding of color theory and color terminology Identify how Photoshop measures, displays and prints color Learn which colors can be reproduced well and which ones cannot Incorporating Color Techniques Chapter D 3 Color Modes Photoshop displays and prints images using specific color modes Color mode or image mode determines how colors combine based on the number of channels in a color model Different color modes result in different levels of color detail and file size – CMYK color mode used for images in a full-color print brochure – RGB color mode used for images in web or e-mail to reduce file size while maintaining color integrity Incorporating Color Techniques Chapter D 4 Color Modes L*a*b Model – Based on human perception of color – Numeric values describe all colors seen by a person with normal vision Grayscale Model – Grayscale mode uses different shades of gray RGB (Red Green Blue) Mode used for online images – Assign intensity value to each pixel – Intensity values range from 0 (black) to 255 (white) for each of the RGB (red, green, blue) components in a color image • Bright red color has an R value of 246, a G value of 20, and a B value of 50. -
Working with Colors
Working With Colors INK: The physical form of color; Ink is how color is applied to paper There are two different types of inks: • TRANSPARENT INKS are commonly used in printing • OPAQUE INKS are considered a specialty ink and generally cost more COLOR: in printing, there are two types of color modes: • SPOT COLOR; aka: Match color, PMS color, Solid color • 4-COLOR PRocESS; aka: Process, CMYK Working With Colors With Working SPot COLOR • A pre-mixed color; a color mixed prior to the printing press PMS : PANtoNE MAtcHING SYSTEM • Color system that has several color libraries for reference in reproducing color • Popular PMS color libraries: • Spot color Formula guide (coated, uncoated, and matte versions) solid color guide that identifies specific colors • 4-Color Process Guide (coated and uncoated versions) identifies colors using CMYK inks • Color Bridge (coated and uncoated versions) using the colors from the spot color Formula guide this book shows the difference Working With Colors With Working between a spot color and the same color when converted to CMYK • Metallic Inks • Pastels • Tints • www.pantone.com COATED: Paper stock that has been treated with a special coating in order to have a glossy appearance. • Ink sits on this type of paper stock as a result of the glossy coating • Colors appear to be brighter compared to uncoated paper Matte: coated paper stock that has been dulled UNcoATED : Paper stock that has not been treated; it has no coating. • Ink is absorbed into this type of paper stock • Ink color appears darker and duller Working With Colors With Working BENEFit OF USING SPot coLOR: • consistent color within a print job. -
Computational RYB Color Model and Its Applications
IIEEJ Transactions on Image Electronics and Visual Computing Vol.5 No.2 (2017) -- Special Issue on Application-Based Image Processing Technologies -- Computational RYB Color Model and its Applications Junichi SUGITA† (Member), Tokiichiro TAKAHASHI†† (Member) †Tokyo Healthcare University, ††Tokyo Denki University/UEI Research <Summary> The red-yellow-blue (RYB) color model is a subtractive model based on pigment color mixing and is widely used in art education. In the RYB color model, red, yellow, and blue are defined as the primary colors. In this study, we apply this model to computers by formulating a conversion between the red-green-blue (RGB) and RYB color spaces. In addition, we present a class of compositing methods in the RYB color space. Moreover, we prescribe the appropriate uses of these compo- siting methods in different situations. By using RYB color compositing, paint-like compositing can be easily achieved. We also verified the effectiveness of our proposed method by using several experiments and demonstrated its application on the basis of RYB color compositing. Keywords: RYB, RGB, CMY(K), color model, color space, color compositing man perception system and computer displays, most com- 1. Introduction puter applications use the red-green-blue (RGB) color mod- Most people have had the experience of creating an arbi- el3); however, this model is not comprehensible for many trary color by mixing different color pigments on a palette or people who not trained in the RGB color model because of a canvas. The red-yellow-blue (RYB) color model proposed its use of additive color mixing. As shown in Fig. -
OSHER Color 2021
OSHER Color 2021 Presentation 1 Mysteries of Color Color Foundation Q: Why is color? A: Color is a perception that arises from the responses of our visual systems to light in the environment. We probably have evolved with color vision to help us in finding good food and healthy mates. One of the fundamental truths about color that's important to understand is that color is something we humans impose on the world. The world isn't colored; we just see it that way. A reasonable working definition of color is that it's our human response to different wavelengths of light. The color isn't really in the light: We create the color as a response to that light Remember: The different wavelengths of light aren't really colored; they're simply waves of electromagnetic energy with a known length and a known amount of energy. OSHER Color 2021 It's our perceptual system that gives them the attribute of color. Our eyes contain two types of sensors -- rods and cones -- that are sensitive to light. The rods are essentially monochromatic, they contribute to peripheral vision and allow us to see in relatively dark conditions, but they don't contribute to color vision. (You've probably noticed that on a dark night, even though you can see shapes and movement, you see very little color.) The sensation of color comes from the second set of photoreceptors in our eyes -- the cones. We have 3 different types of cones cones are sensitive to light of long wavelength, medium wavelength, and short wavelength. -
C9600 Printing Guide V1.0
Copyright Information Copyright © 2007 by Oki Data. All Rights Reserved Document Information ________________________________ C9600 Printing Guide P/N 59373001 Revision 3.0 February, 2007 Disclaimer__________________________________________ Every effort has been made to ensure that the information in this document is complete, accurate, and up-to-date. The manufacturer assumes no responsibility for the results of errors beyond its control. The manufacturer also cannot guarantee that changes in software and equipment made by other manufacturers and referred to in this guide will not affect the applicability of the information in it. Mention of software products manufactured by other companies does not necessarily constitute endorsement by the manufacturer . While all reasonable efforts have been made to make this document as accurate and helpful as possible, we make no warranty of any kind, expressed or implied, as to the accuracy or completeness of the information contained herein. The most up-to-date drivers and manuals are available from the web site: http://www.okiprintingsolutions.com Trademark Information _______________________________ Oki and Oki Printing Solutions are registered trademarks of Oki Electric Industry Company Ltd. Adobe and PostScript are registered trademarks of Adobe Systems. Apple, Macintosh, Mac, and Mac OS are registered trademarks of Apple Computers Inc. Hewlett-Packard, HP, and LaserJet are registered trademarks of Hewlett-Packard Company. Microsoft, MS-DOS and Windows are either registered trademarks or trademarks