Xin Li – författare

Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources.

Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other’s work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible.

Topics covered include:

Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.

Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources.

Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other’s work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible.

Topics covered include:

Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.

Membrane technology has received great popularity in many industrial sectors and significantly enhanced our abilities to restructure production processes, protect the environment and public health, and provide competitive strategies for separation and purification. However, the need for sustainable development has imposed new targets for this technology, such as more effective/precise separation and stricter admissible limits for the discharge of contaminants into the environment.

Focusing on hot topic environment-related applications, Advances in Functional Separation Membranes introduces emerging membranes nanoengineered with attractive functions and discusses their key features. It also provides a comprehensive guide to various design strategies for such functional membranes, making it useful reference for environmental chemists and membrane engineers alike.

Membrane technology has received great popularity in many industrial sectors and significantly enhanced our abilities to restructure production processes, protect the environment and public health, and provide competitive strategies for separation and purification. However, the need for sustainable development has imposed new targets for this technology, such as more effective/precise separation and stricter admissible limits for the discharge of contaminants into the environment.

Focusing on hot topic environment-related applications, Advances in Functional Separation Membranes introduces emerging membranes nanoengineered with attractive functions and discusses their key features. It also provides a comprehensive guide to various design strategies for such functional membranes, making it useful reference for environmental chemists and membrane engineers alike.

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design.

From the Foreword

As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other….As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure thatI recommend it to all those who are actively engaged in this exciting transformation.

Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

This book gives an account of the necessary background for group algebras and crossed products for actions of a group or a semigroup on a space and reports on some very recently developed techniques with applications to particular examples. Much of the material is available here for the first time in book form. The topics discussed are among the most classical and intensely studied C*-algebras. They are important for applications in fields as diverse as the theory of unitary group representations, index theory, the topology of manifolds or ergodic theory of group actions.

Part of the most basic structural information for such a C*-algebra is contained in its K-theory. The determination of the K-groups of C*-algebras constructed from group or semigroup actions is a particularly challenging problem. Paul Baum and Alain Connes proposed a formula for the K-theory of the reduced crossed product for a group action that would permit, in principle, its computation. By work of many hands, the formula has by now been verified for very large classes of groups and this work has led to the development of a host of new techniques. An important ingredient is Kasparov''s bivariant K-theory.

Intriguing examples of actions of such semigroups come from ergodic theory as well as from algebraic number theory. The computation of the K-theory of the corresponding crossed products needs new techniques. In cases of interest the K-theory of the algebras reflects ergodic theoretic or number theoretic properties of the action.

This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular, the authors emphasize design and validation methodologies to address the grand challenges related to safety. This book offers a holistic view of a broad range of technical aspects (including perception, localization and navigation, motion control, etc.) and application domains (including automobile, aerospace, etc.), presents major challenges and discusses possible solutions. 

Provides a timely overview of basic principles and significant advances of semiconductor-based photocatalysts for solar energy conversion 

Semiconductor Solar Photocatalysts: Fundamentals and Applications presents a systematic, in-depth summary of both fundamental and cutting-edge research in novel photocatalytic systems. Focusing on photocatalysts with vast potential for efficient utilization of solar energy, this up-to-date volume covers heterojunction systems, graphene-based photocatalysts, organic semiconductor photocatalysts, metal sulfide semiconductor photocatalysts, and graphitic carbon nitride-based photocatalysts. 

Organized into six chapters, the text opens with a detailed introduction to the history, design principles, modification strategies, and performance evaluation methods of solar energy photocatalysis. The remaining chapters provide detailed discussion of various novel photocatalytic systems such as direct Z-scheme and S-scheme photocatalysts, organic polymers, and covalent organic frameworks. This authoritative resource: 

Semiconductor Solar Photocatalysts: Fundamentals and Applications is valuable resource for all catalytic chemists, materials scientists, inorganic and physical chemists, chemical engineers, and physicists working in the semiconductor industry. 

Provides a timely overview of basic principles and significant advances of semiconductor-based photocatalysts for solar energy conversion 

Semiconductor Solar Photocatalysts: Fundamentals and Applications presents a systematic, in-depth summary of both fundamental and cutting-edge research in novel photocatalytic systems. Focusing on photocatalysts with vast potential for efficient utilization of solar energy, this up-to-date volume covers heterojunction systems, graphene-based photocatalysts, organic semiconductor photocatalysts, metal sulfide semiconductor photocatalysts, and graphitic carbon nitride-based photocatalysts. 

Organized into six chapters, the text opens with a detailed introduction to the history, design principles, modification strategies, and performance evaluation methods of solar energy photocatalysis. The remaining chapters provide detailed discussion of various novel photocatalytic systems such as direct Z-scheme and S-scheme photocatalysts, organic polymers, and covalent organic frameworks. This authoritative resource: 

Semiconductor Solar Photocatalysts: Fundamentals and Applications is valuable resource for all catalytic chemists, materials scientists, inorganic and physical chemists, chemical engineers, and physicists working in the semiconductor industry.