Edited and expanded to keep pace with the digital revolution, the new edition of this highly popular and critically acclaimed work provides a comprehensive exploration of imaging science. Brilliantly written and extensively illustrated, The Science of Imaging: An Introduction, Second Edition covers the fundamental laws of physics as well as the cut

Describes the major digital printing processes used by photographers and artists over the past forty years, explaining and illustrating materials and their deterioration, methods of identification, and options for acquiring and preserving digital prints. --from publisher description.

First multi-year cumulation covers six years: 1965-70.

Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. - An authoritative presentation of key concepts and methods from experts in the field - Sections clearly explaining key methodological principles within relevant medical applications - Self-contained chapters enable the text to be used on courses with differing structures - A representative selection of modern topics and techniques in medical image computing - Focus on medical image computing as an enabling technology to tackle unmet clinical needs - Presentation of traditional and machine learning approaches to medical image computing

How should we understand the experience of encountering and interpreting images? What are their roles in science and medicine? How do they shape everyday life? Postphenomenology and Imaging: How to Read Technology brings together scholars from multiple disciplines to investigate these questions. The contributors make use of the “postphenomenological” philosophical perspective, applying its distinctive ideas to the study of how images are experienced. These essays offer both philosophical analysis of our conception of images and empirical studies of imaging practice. Edited by Samantha J. Fried and Robert Rosenberger, this collection includes an extensive “primer” chapter introducing and expanding the postphenomenological account of imaging, as well as a set of short pieces by “critical respondents”: prominent scholars who may not self-identify as doing postphenomenology but whose adjacent work is illuminating.