Description
An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid rate of progress of this advancing technology as well as its multi-faceted nature has created a vast amount of potential research material for professionals and students in numerous disciplines. Its specific ability to improve upon traditional algorithms for image processing is seizing the attention of researchers in this field, as there remains a lack of exploration into this precise area.
Examining Quantum Algorithms for Quantum Image Processing is an essential reference that provides research on quantum Fourier transform, quantum wavelet transform, and quantum wavelet packet transform as tool algorithms in image processing and quantum computing. It provides a comprehensive look into quantum image algorithms to establish frameworks of quantum image processing. While highlighting topics including geometric transformation, quantum compression ratio, and storage circuits, this book is ideally designed for researchers, scientists, developers, academicians, programmers, practitioners, engineers, and upper graduate students.
Author's/Editor's Biography
HaiSheng Li
HaiSheng Li is an Associate Professor and Master's Supervisor at College of Electronic Engineering at Guangxi Normal University, China. He received the M.S. degree in computer science from Chongqing University and the Ph.D. degree in computer science from the University of Electronic Science and Technology of China. He worked as a visiting scholar at University of Technology, Sydney, Australia, and Tsinghua University, China. His research interests include quantum image processing, quantum signal processing, and quantum algorithm.