ISBN 978-1-4398-6856-0

Presents the state-of-the-art as well as the most recent trends in image acquisition, processing, transmission, storage, and display. Details advances in human visual perception modeling and human visual system-driven computational imaging.

ISBN 978-1-4398-1749-0

Elucidates cutting-edge advances and applications in digital imaging, camera image processing, and computational photography. Can be used as a guide to design solutions for many of today's most interesting and challenging computational imaging problems.

ISBN 978-1-4200-5452-1

Builds a strong, fundamental understanding of theory and methods for solving many of today’s most interesting and challenging problems in digital color image and video acquisition, analysis, processing, and storage.

ISBN 0-8493-9774-X

A versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications.

ISBN 978-1-4398-1930-2

Consolidates key recent research contributions and serves as a starting point for exploration into the state of the art in the field. Describes the latest in both theoretical and practical aspects of direct relevance to academia and industry, providing a base of understanding for future progress.

ISBN 978-1-4398-2173-2

Presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation, including spectral imaging, automated restoration, computational reconstruction, digital reproduction, and 3D models.

ISBN 978-1-4398-3721-4

Covers an extensive range of topics related to visual cryptography techniques and secure image sharing solutions, including probabilistic secret image reconstruction, sharing multiple secrets, and cheating prevention. Describes practical applications, steganography, and authentication.

ISBN 978-1-4398-5507-2

Serves as a comprehensive review of graph-driven digital imaging and computer vision. Focuses on image processing, representation, and analysis using functions based on graphs. Provides numerous examples to illustrate how the graphs-based methods can be used in practice.

ISBN 978-1-4398-6955-0

Addresses a variety of applications and covers a wide range of topics pertaining to image restoration. Helps readers understand the essentials, the state of the art, and the research directions. Features background material and mathematical content, and surveys the methods, examples, and comparisons.