Color Management. Understanding and Using ICC Profiles

An accessible but technically rigorous guide to color management for all users in all market segments Understanding Color Management, 2nd Edition explains the basics of color science as needed to understand color profiling software, color measuring instruments, and software applications, such as Adobe Photoshop and proofing RIPs. It also serves as a practical guide to International Color Consortium (ICC) profiles describing procedures for managing color with digital cameras, LCD displays, inkjet proofers, digital presses and web browsers and tablets. Updates since the first edition include new chapters on iPads, tablets and smartphones; home-cinema projection systems, as well as, with the industrial user in mind, new additional chapters on large-format inkjet for signage and banner printing, flexography, xerography and spot color workflows. Key features: Managing color in digital cameras with Camera Raw and DNG. Step-by-step approach to using color management in Adobe Photoshop CC. M0, M1, M2 instrument measurement modes explained. Testing of low cost, iPhone color measuring instruments. Updated to include iccMAX (Version 5.0) ICC profiles. G7 calibration explained with practical examples. Conventional printing conditions described – SNAP, GRACoL, SWOP, Fogra, CRPC. New sections on Pantone EXTENDED GAMUT Guide. Introduction to XML for color management applications. Understanding Color Management, 2nd Edition is a valuable resource for digital photographers, keen amateurs and end-users, graphic designers and artists, web masters, production and prepress operators and supervisors, color scientists and researchers, color consultants, and manufacturers. It is a must-have course text for college and university students of graphics arts, graphic communications, digital photography, print media, and imaging arts and sciences. The Society for Imaging Science and Technology (imaging.org) is an international professional society whose mission is to keep members and others aware of the latest scientific and technological developments in the greater field of imaging. A major objective of the Wiley-IS&T series is to advance this goal at the professional level. The broad scope of the series focuses on imaging in all its aspects, with particular emphasis on digital printing, electronic imaging, image assessment and reproduction, image archiving and preservation, color science, pre-press technologies, and hybrid imaging systems.

Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.

Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.

Researchers share their pioneering graphical method for designing almost any distillation structure Developed by the authors in collaboration with other researchers at the Centre of Material and Process Synthesis, column profile maps (CPMs) enable chemical engineers to design almost any distillation structure using novel graphical techniques. The CPM method offers tremendous advantages over other design methods because it is generalized and not constrained to a particular piece of equipment. Understanding Distillation Using Column Profile Maps enables readers to understand, analyze, and design distillation structures to solve common distillation problems, including distillation by simple columns, side rectifiers and strippers, multiple feed columns, and fully thermally coupled columns. In addition, the book presents advanced topics such as reactive distillation, membrane permeation, and validation of thermodynamic models. For all these processes, the authors set forth easy-to-follow design techniques, solution strategies, and insights gained using CPMs. This book offers everything needed to fully understand and use CPMs as a design tool: Figures help readers understand how to use CPMs as design and optimization tools Examples clearly illustrate how to solve specific problems using CPMs Tutorials allow readers to explore key concepts through experimentation Design and Optimization of Distillation Systems software package, developed for this book, enables readers to reproduce the examples in the book, follow the tutorials, and begin designing their own distillation systems With its many examples and step-by-step tutorials, Understanding Distillation Using Column Profile Maps is recommended for students in chemical engineering in advanced undergraduate and graduate courses. The book also provides new practical techniques that can be immediately applied by chemical engineering professionals in industry.

An important and highly actionable blueprint for optimum workplace safety Health and safety management is an ongoing concern in today's workplace. Effective Environmental, Health, and Safety Management Using the Team Approach provides today's safety professionals with an excellent resource for protecting their organizations' most important resource-their employees. The author, a seasoned health and safety professional, provides a blueprint for installing a system that's been proven to reduce illness and injury on any job, in any industry, with a simple, logical approach that compares safety management to production and quality control-issues today's managers readily understand. The system uses a team approach to get every level of an organization involved in the process of managing safety issues, with the ultimate goal being the development of a safety culture in which every employee has a personal interest in protecting their lives, their property, and their environment. An ideal resource for industry managers as well as graduate-level courses in workplace safety and health, this text offers such special features as: * Important checklists, including OSHA-required training, OSHA-required inspections, and OSHA-required postings and labeling * Numerous health and safety resources, Web site addresses, and contact information for related organizations * Real-world examples that illustrate important health and safety issues * Helpful charts and forms to facilitate implementation of the team approach * Frequently asked questions and answers for users of the system

A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts. Portfolio construction models originating from the standard Markowitz mean-variance model have a high input sensitivity that threatens optimization, spawning a flurry of research into new analytic techniques. This book covers the latest developments along with the basics, to give you a truly comprehensive understanding backed by a robust, practical skill set. Get up to speed on the latest developments in portfolio optimization Implement robust models using provided MATLAB code Learn advanced optimization methods with equity portfolio applications Understand the formulations, performances, and properties of robust portfolios The Markowitz mean-variance model remains the standard framework for portfolio optimization, but the interest in—and need for—an alternative is rapidly increasing. Resolving the sensitivity issue and dramatically reducing portfolio risk is a major focus of today's portfolio manager. Robust Equity Portfolio Management + Website provides a viable alternative framework, and the hard skills to implement any optimization method.

Updated for today's businesses-a proven model FOR assessment and ongoing improvement Using the Project Management Maturity Model, Second Edition is the updated edition of Harold Kerzner's renowned book covering his Project Management Maturity Model (PMMM). In this hands-on book, Kerzner offers a unique, industry-validated tool for helping companies of all sizes assess and improve their progress in integrating project management into every part of their organizations. Conveniently organized into two sections, this Second Edition begins with an examination of strategic planning principles and the ways they relate to project management. In the second section, PMMM is introduced with in-depth coverage of the five different levels of development for achieving maturity. Easily adaptable benchmarking instruments for measuring an organization's progress along the maturity curve make this a practical guide for any type of company. Complete with an associated Web site packed with both teaching and learning tools, Using the Project Management Maturity Model, Second Edition helps managers, engineers, project team members, business consultants, and others build a powerful foundation for company improvement and excellence.

STATISTICS IN PRACTICE A practical exploration of alternative approaches to analyzing water-related environmental issues Written by an experienced environmentalist and recognized expert in the field, this text is designed to help water resource managers and scientists to formulate, implement, and interpret more effective methods of water quality management. After presenting the basic foundation for using statistical methods in water resource management, including the use of appropriate hypothesis test procedures and some rapid calculation procedures, the author offers a range of practical problems and solutions on environmental topics that often arise, but are not generally covered. These include: * Formulating water quality standards * Determining compliance with standards * MPNs and microbiology * Water-related, human health risk modeling * Trends, impacts, concordance, and detection limits In order to promote awareness of alternative approaches to analyzing data, both frequentist and Bayesian, statistical methods are contrasted in terms of their applicability to various environmental issues. Each chapter ends with a number of set problems for which full answers are provided. The book also encourages discussion between technical staff and management before embarking on statistical studies.

All successful imaging systems employ some form of color management for previewing, controlling and adjusting color throughout the image-production process. Today’s increasingly complex systems pose challenging problems: they must support numerous devices and media having disparate color properties, and they also must provide for the interchange of images among dissimilar systems. In this book, the authors address and solve these problems using innovative methods of representing color in the digital domain. The second edition of this popular book explains the capabilities and limitations of existing color management systems and provides comprehensive practical solutions for communicating color within and among imaging systems, from the simplest to the most complex. Beginning with the fundamentals of color and human color perception, the book progresses to in-depth analyses of the nature of color images, digital color encoding, color management systems and digital color interchange. Fully revised and updated, this second edition of Digital Color Management features new and expanded coverage including: electronic displays and electronic imaging systems; scene-based and appearance-based color encoding methods; color management for digital cinema; a Unified Paradigm—a comprehensive, integrated color-managed environment for the color-imaging industry; four new chapters, two new appendices, and more than 80 new figures. This book is an essential resource for engineers, programmers and imaging professionals designing and engineering color-imaging systems and for others simply looking to increase their understanding of the field. Scientists, researchers, advanced undergraduates and graduate students involved in imaging technology also will find this book of significant interest and usefulness. Reviews for the first edition: ‘The absence of unnecessary jargon, the impeccable writing style, the material depth leads only to one conclusion: If you buy one digital color book this year, buy this one.’ W. David Schwaderer, Digital Camera Magazine ‘It [Digital Color Management] fulfils the need among engineers and scientists for a comprehensive understanding of color management, imaging, media, viewing conditions, appearance and communication.’ Arthur S. Diamond, Imaging News