Digital Imaging is the essential guide to understanding digitization and managing a digitizing project. Koelling covers everything from deciding if digitizing is for you to planning and management, choosing equipment, and managing databases. Not only does she guide you in mastering the technical details, she also helps you find the fun in working with images.
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 These are not the trendy details that will be out of date next month but the core issues everyone needs to understand so they can make good decisions and plan projects with long-term benefits.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.
Technological advances in hardware and software provide powerful tools with the potential to design interfaces that are powerful and easy to use. Yet, the frustrations and convoluted "work-arounds" often encountered make it clear that there is substantial room for improvement. Drawn from more than 60 years of combined experience studying, implement
This concise, user-oriented and up-to-date desk reference offers a broad introduction to the fascinating world of medical technology, fully considering today’s progress and further development in all relevant fields. The Springer Handbook of Medical Technology is a systemized and well-structured guideline which distinguishes itself through simplification and condensation of complex facts. This book is an indispensable resource for professionals working directly or indirectly with medical systems and appliances every day. It is also meant for graduate and post graduate students in hospital management, medical engineering, and medical physics.
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.
