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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Introduction and Overview

Abstract
In this chapter, some essentials of quantum computation and information are reviewed to help readers outside of quantum physics (e.g., computer scientists) to understand the kernel of the QIMP area. Also introduced are several similar concepts originated from both quantum computation and information and computer science and engineering, such as quantum machine learning and quantum neural networks. The background of QIMP and its radical difference from digital image processing on classical computers are suggested as the cornerstone of the discussions in this book.
Fei Yan, Salvador E. Venegas-Andraca

Chapter 2. Quantum Image Representations

Abstract
In this chapter, mainstream QIRs are reviewed and classified into three models based on different requirements to capture the content of an image. They are thoroughly compared in terms of their color information encoding strategies, computational complexities of preparation, and measurement-based retrievals. The preparation, compression, and retrieval of FRQI, MCQI, and NEQR representations are fully introduced. While designing the position and color transformations of these QIRs, some definitions and theorems are given, which will guide in part the subsequent QIMP studies.
Fei Yan, Salvador E. Venegas-Andraca

Chapter 3. Quantum Image Operations

Abstract
In this chapter, some advanced quantum image operations are designed in order to realize some meaningful and useful QIMP applications. By employing the quantum properties, notably computational parallelism, the quantum image comparison, scaling, and rotation operations are introduced and their quantum circuit implementations are illustrated. While their classical counterparts have been fully studied, it has been demonstrated how these quantum algorithms perform similar tasks by reducing the required computing resources and accelerating the computing process. Some operations are encapsulated in several QIMP-customized toolkits that are expected to be involved as basic computing modules in more sophisticated calculations.
Fei Yan, Salvador E. Venegas-Andraca

Chapter 4. Quantum Image Security

Abstract
In this chapter, the discussion is started by dividing quantum image security techniques into the two categories of cryptography and information hiding. Specifically, the background and advances of quantum image scrambling, encryption, watermarking, and steganography are discussed. In addition to the fast computing speed brought by parallel computation, the main emphases in these techniques are on ensured security (by means of quantum measurement) compared to their classical counterparts. The schematic of the embedding/extraction and encryption/decryption procedures are depicted to show the implementation and distinctiveness of these algorithms.
Fei Yan, Salvador E. Venegas-Andraca

Chapter 5. Quantum Image Understanding

Abstract
In this chapter, by referring to the classical image understanding techniques, quantum image filtering, feature extraction, and segmentation algorithms are introduced. In such algorithms, to interpret and describe the images, thresholding and sampling must always be taken into account, and quantum computing modules for image translation, addition, and comparison always employed. Although image understanding is a broad area, QIMP research in this field is still restricted to several limited topics. To enhance understanding of these algorithms, an example and a corresponding circuit implementation for each technique have been provided.
Fei Yan, Salvador E. Venegas-Andraca

Chapter 6. Quantum Multimedia Techniques

Abstract
In this chapter, inspired by QIMP, a timeline of the progress in its two emerging sub-topics, i.e., quantum movie and audio signals, is presented. The formulation, requirements, and applications of both types of media are discussed, leading to the conclusion that they both have potential roles in quantum computation. Learning from experience with digital movies and the quest for talking color quantum movies, the requirements, limitations, and likely impediments to the realization of sound movies in the quantum computing paradigm are assessed.
Fei Yan, Salvador E. Venegas-Andraca

Chapter 7. Summary and Discussion

Abstract
In this chapter, the contents of this book are summarized, and the ins and outs of the QIMP field expounded. Some open questions are enumerated for researchers in the area, and some considerations provided to guide potential researchers in their pursuits. Although increasing numbers of researchers are working in the QIMP field, some fundamental problems remain unsolved. It is hoped that the open questions and future directions identified in this book will arouse the interest of more researchers and accelerate efforts toward realizing more sophisticated QIMP-based technologies.
Fei Yan, Salvador E. Venegas-Andraca

Backmatter

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