Overview
- Offers a comprehensive introduction to quantum image processing
- Provides a reference guide for graduate students and researchers
- Authored by pioneering researchers in this emerging interdisciplinary area
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Table of contents (7 chapters)
Keywords
About this book
This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.
Authors and Affiliations
About the authors
Fei Yan is an Associate Professor and doctoral supervisor at the School of Computer Science and Technology at Changchun University of Science and Technology, China. He received his doctorate in Engineering and then worked as a postdoctoral fellow at the Department of Computational Intelligence and Systems Science at Tokyo Institute of Technology, Japan. His research interests include quantum image processing, information security, and affective computing.
Salvador E. Venegas-Andraca is a Professor of Computer Science and head of the Quantum Information Processing group at Tecnologico de Monterrey. A leading scientist in the field of quantum walks, he holds a DPhil in Physics from the University of Oxford, and was cofounder of the field quantum image processing. His research interests include quantum algorithms, quantum image processing as well as the algorithmic analysis of NP-hard/NP-complete problems.Bibliographic Information
Book Title: Quantum Image Processing
Authors: Fei Yan, Salvador E. Venegas-Andraca
DOI: https://doi.org/10.1007/978-981-32-9331-1
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-32-9330-4Published: 30 January 2020
Softcover ISBN: 978-981-32-9333-5Published: 26 August 2021
eBook ISBN: 978-981-32-9331-1Published: 03 January 2020
Edition Number: 1
Number of Pages: IX, 171
Number of Illustrations: 71 b/w illustrations, 25 illustrations in colour
Topics: Image Processing and Computer Vision, Information Storage and Retrieval, Multimedia Information Systems, Data Storage Representation, Cryptology