This updated guide offers a new approach for amateur photographers working with digital images. It focuses on the tools of digital imaging and shows how they function in different software. It guides photographers on getting up and running with digital imaging and ensures they are able to make informed decisions on software and equipment.
Why does Digital Imaging start with a glossary? So that right from the beginning readers learn to "speak digital." Koelling demystifies the process of planning and managing a digitizing project, including important issues of copyright and ethics, choosing equipment, weighing technical alternatives, and creating databases. These are not the trendy details that will be out of date next month but the core issues everyone needs to understand so they can make good decisions and plan projects with long-term benefits. Koelling reminds us, too, that these projects can be both fun and satisfying to work on. Don't miss the last chapter on image enhancement—history detectives have a great new technique at their fingertips.
Presents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such as array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB, this hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Explains how the quality of an image can be quantified in MATLAB Discusses what constitutes a “naturally looking” image in subjective and analytical terms Presents denoising techniques for a wide range of digital image processing applications Describes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis Requires only a fundamental knowledge of digital signal processing Includes access to a companion website with source codes, exercises, and additional resources Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques.
Honest Abe. The rail-splitter. The Great Emancipator. Old Abe. These are familiar monikers of Abraham Lincoln. They describe a man who has influenced the lives of everyday people as well as notables like Leo Tolstoy, Marilyn Monroe, and Winston Churchill. But there is also a multitude of fictional Lincolns almost as familiar as the original: time traveler, android, monster hunter. This book explores Lincoln's evolution from martyred president to cultural icon and the struggle between the Lincoln of history and his fictional progeny. He has been Simpsonized by Matt Groening, charmed by Shirley Temple, and emulated by the Lone Ranger. Devotees have attempted to clone him or to raise him from the dead. Lincoln's image and memory have been invoked to fight communism, mock a sitting president, and sell products. Lincoln has even been portrayed as the greatest example of goodness humanity has to offer. In short, Lincoln is the essential American myth.
A comprehensive and practical analysis and overview of the imaging chain through acquisition, processing and display The Handbook of Digital Imaging provides a coherent overview of the imaging science amalgam, focusing on the capture, storage and display of images. The volumes are arranged thematically to provide a seamless analysis of the imaging chain from source (image acquisition) to destination (image print/display). The coverage is planned to have a very practical orientation to provide a comprehensive source of information for practicing engineers designing and developing modern digital imaging systems. The content will be drawn from all aspects of digital imaging including optics, sensors, quality, control, colour encoding and decoding, compression, projection and display. Contains approximately 50 highly illustrated articles printed in full colour throughout Over 50 Contributors from Europe, US and Asia from academia and industry The 3 volumes are organized thematically for enhanced usability: Volume 1: Image Capture and Storage; Volume 2: Image Display and Reproduction, Hardcopy Technology, Halftoning and Physical Evaluation, Models for Halftone Reproduction; Volume 3: Imaging System Applications, Media Imaging, Remote Imaging, Medical and Forensic Imaging 3 Volumes www.handbookofdigitalimaging.com
The reason that good interfaces are few and far between is really quite simple: they are extremely difficult to design and build properly. While there are many books available that address display design, most of them focus on aesthetic principles but lack scientific rigor, or are descriptive but not prescriptive. This book elucidates an overarching framework for design that can be applied to the broad spectrum of existing domains. The authors delineate analytical tools and principles of design that are general and powerful, but very abstract, accompanied by concrete examples of their use in a variety of domains of application. The book includes access to a web site containing examples of the dynamic properties of displays.
Isogeometric analysis (IGA) consists of using the same higher-order and smooth spline functions for the representation of geometry in Computer Aided Design as for the approximation of solution fields in Finite Element Analysis. Now, almost twenty years after its creation, substantial works are being reported in IGA, making it very competitive in scientific computing. This book proposes to use IGA jointly with standard finite element methods (FEM), presenting IGA as a projection of FEM on a more regular reduced basis. By shedding new light on how IGA relates to FEM, we can see how IGA can be implemented on top of an FE code in order to improve the solution of problems that require more regularity. This is illustrated by using IGA with FEM in a non-invasive fashion to perform efficient and robust multiscale global/local simulations in solid mechanics. Furthermore, we show that IGA can regularize the inverse problem of FE digital image correlation in experimental mechanics.
This book, written by a leading expert in the field of visual effects (VFX), demystifies the complex subject of color science and how it should be managed from project ideation to completion. Readers will learn not only how things work, their capabilities and limitations, but also the color science that goes along with them, in an accessible and informative manner. Starting in the real world, with an understanding of light and our human perception of it, the book then explores how digital cameras "see" and digitize the scene. From the capture of these images, the author then explores the fundamental concerns of storage, editing, and managing color images, including with OpenColorIO and ACES, the Academy Color Encoding System. Written for professional photographers, cinematographers, VFX, motion graphics and computer graphics artists, editors, and colorists, this book will provide you with knowledge of the upstream and downstream technology of your job that will not only give you a competitive advantage and help you to make better images, but also give you a real-world working knowledge of color science.