In a quiet seaside town, a gas station clerk named Huck secretly uses his special gifts to do a good deed each day. But when his story leaks, a media firestorm erupts, bringing him uninvited fame. As pieces of Huck's past begin to resurface, it's no longer clear who his friends are - or whose lives may be in danger. This series from writer MARK MILLAR and artist RAFAEL ALBUQUERQUE presents a comic book unlike anything you've read before.

"Analogy, Attunement, and Attention brings together a uniquely contemporary and diverse set of voices to address the complex sets of relationships that the photograph creates between its viewers and their bodies, minds, and sense of the physical and metaphysical world. This volume examines our changing relationship to space and selfhood as mediated by the lens, the print, the screen, the computer, and the multitude of networked technologies built around the image"--

When she died in 2016, Dr Jennifer O’Reilly left behind a body of published and unpublished work in three areas of medieval studies: the iconography of the Gospel Books produced in early medieval Ireland and Anglo-Saxon England; the writings of Bede and his older Irish contemporary, Adomnán of Iona; and the early lives of Thomas Becket. In these three areas she explored the connections between historical texts, artistic images and biblical exegesis. This volume brings together seventeen essays, published between 1984 and 2013, on the interplay of texts and images in medieval art. Most focus on the manuscript art of early medieval Ireland and England. The first section includes four studies of the Codex Amiatinus, produced in Northumbria in the monastic community of Bede. The second section contains seven essays on the iconography and text of the Book of Kells. In the third section there are five studies of Anglo-Saxon Art, examined in the context of the Benedictine Reform. A concluding essay, on the medieval iconography of the two trees in Eden, traces the development of a motif from Late Antiquity to the end of the Middle Ages.(CS1080)

Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches. Divided into two volumes, this second installment explores the more advanced concepts and techniques in image processing, including morphological filters, color image processing, image matching, feature-based segmentation utilizing the mean shift algorithm, and the application of singular value decomposition for image compression. This second volume also incorporates several important machine learning techniques applied to image processing, building on the foundational knowledge introduced in Volume 1. Written with instructors and students of image processing in mind, this book’s intuitive organization also contains appeal for app developers and engineers.

Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an increasing need for theoretical mathematics. This book, the second of two volumes, emphasizes the role of mathematics as a rigorous basis for imaging sciences. It provides a comprehensive and convenient overview of the key mathematical concepts, notions, tools and frameworks involved in the various fields of gray-tone and binary image processing and analysis, by proposing a large, but coherent, set of symbols and notations, a complete list of subjects and a detailed bibliography. It establishes a bridge between the pure and applied mathematical disciplines, and the processing and analysis of gray-tone and binary images. It is accessible to readers who have neither extensive mathematical training, nor peer knowledge in Image Processing and Analysis. It is a self-contained book focusing on the mathematical notions, concepts, operations, structures, and frameworks that are beyond or involved in Image Processing and Analysis. The notations are simplified as far as possible in order to be more explicative and consistent throughout the book and the mathematical aspects are systematically discussed in the image processing and analysis context, through practical examples or concrete illustrations. Conversely, the discussed applicative issues allow the role of mathematics to be highlighted. Written for a broad audience – students, mathematicians, image processing and analysis specialists, as well as other scientists and practitioners – the author hopes that readers will find their own way of using the book, thus providing a mathematical companion that can help mathematicians become more familiar with image processing and analysis, and likewise, image processing and image analysis scientists, researchers and engineers gain a deeper understanding of mathematical notions and concepts.

B.J. Rosco sends the piano student on an exploration of music history and music styles through this innovative collection of enticing repertoire. Beginning with the Baroque era, and ending with the contemporary sounds of the twentieth century, this series provides excellent preparation for studying the music of the masters. Extensive composer lists from each era provide the student with a reference for further exploration and study. Titles are: * On a Sunday Morning * Hornpipe March * Little Sonatina in F * Royal Fanfare * Berceuse * Floating Clouds at Sunset * Space Cruisers.