This book provides the readers with a comprehensive overview of principles methodologies and recent advances in image, signal, and video processing using different system. This book is used as the handbook of postgraduates course, such as image processing, signal processing, and optical information security.

This book highlights a comprehensive introduction to high-throughput imaging, with the focus on the principles and methods. High-throughput imaging has become a research trend in the field of optics. It combines fast imaging, super-resolution imaging and large field of view imaging, improving the performance of the imaging system in many aspects. The development of a fast and high-throughput imaging system requires integration of optics, mathematics, programming, and other related science and technology. They bridge the theory and the system and realize the software-hardware integration, finally achieving high-performance imaging. An effective evaluation criterion of high-throughput imaging is the spatio-temporal bandwidth product, which provides guidance for research. The imaging technology with better comprehensive performance is the key target of research. Nowadays, new super-resolution imaging technologies and high-throughput imaging technologies have been emerging one after another, together with a number of new technical indicators. However, the integration and cascade of various technologies is still a very difficult challenge, and different technologies are difficult to be used in combination because of differences in physical space and technical means. Creating an imaging system with fast and high-throughput imaging capability is an urgent research task, which has important economic and social benefits for practical applications such as observing the dynamic (transient) process of large-size targets and on-line detection. High-throughput imaging is one of the major research goals of global research teams in optical imaging. This book summarizes latest research advances and introduces a variety of imaging methods targeting key problems, bringing together new theories and technologies in the aspects of high resolution, large field of view and fast imaging. The book provides a handy reference and systematic handbook for graduate students, researchers, and technicians engaged in the study, research and work in optical imaging.

This book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging. Integrating optical imaging and computing technology to achieve significant performance improvements, computational optical imaging has become an active research field in optics. It has given rise to the emerging of new concepts such as computational imaging, computational measurement and computational photography. As high-performance image detectors make image measurements discrete and digital, images are mostly recorded in the form of discrete data, almost replacing the continuous medium used for pattern recording. Computational optical imaging technology has become an effective way for people to study microscopic imaging. At present, different imaging systems are composed of continuous optical elements such as lenses and prisms or discrete optical elements such as spatial light modulators or digital micro-mirror devices. The current computing technology has permeated all aspects of imaging systems and gradually promotes the digitization of optical imaging systems. This book summarizes the representative work done in this field and introduces the latest results. Computing technology plays an important bridging role between theories of optics and experimental systems, which inspires more comprehensive and in-depth research. It has the advantages of high repeatability, flexibility, strong computing power and low cost. In this multidisciplinary field, researchers in computer science, optics and information science have joined together to extend its depth and breadth. Targeting cutting-edge issues to be solved in computational optics, this book introduces a variety of methods that involve theoretical innovations and technical breakthroughs in imaging resolution, the field of view, imaging speed, and computing speed. It intends to provide a handy reference and technical support for graduate students, researchers and professionals engaged in the study and practice of computational optical imaging.

This book provides the readers with a comprehensive overview of principles methodologies and recent advances in image, signal, and video processing using different system. This book is used as the handbook of postgraduates course, such as image processing, signal processing, and optical information security.

This book highlights a comprehensive introduction to high-throughput imaging, with the focus on the principles and methods. High-throughput imaging has become a research trend in the field of optics. It combines fast imaging, super-resolution imaging and large field of view imaging, improving the performance of the imaging system in many aspects. The development of a fast and high-throughput imaging system requires integration of optics, mathematics, programming, and other related science and technology. They bridge the theory and the system and realize the software-hardware integration, finally achieving high-performance imaging. An effective evaluation criterion of high-throughput imaging is the spatio-temporal bandwidth product, which provides guidance for research. The imaging technology with better comprehensive performance is the key target of research. Nowadays, new super-resolution imaging technologies and high-throughput imaging technologies have been emerging one after another, together with a number of new technical indicators. However, the integration and cascade of various technologies is still a very difficult challenge, and different technologies are difficult to be used in combination because of differences in physical space and technical means. Creating an imaging system with fast and high-throughput imaging capability is an urgent research task, which has important economic and social benefits for practical applications such as observing the dynamic (transient) process of large-size targets and on-line detection. High-throughput imaging is one of the major research goals of global research teams in optical imaging. This book summarizes latest research advances and introduces a variety of imaging methods targeting key problems, bringing together new theories and technologies in the aspects of high resolution, large field of view and fast imaging. The book provides a handy reference and systematic handbook for graduate students, researchers, and technicians engaged in the study, research and work in optical imaging.

This book highlights a comprehensive introduction to the principles and calculation methods of computational optical imaging. Integrating optical imaging and computing technology to achieve significant performance improvements, computational optical imaging has become an active research field in optics. It has given rise to the emerging of new concepts such as computational imaging, computational measurement and computational photography. As high-performance image detectors make image measurements discrete and digital, images are mostly recorded in the form of discrete data, almost replacing the continuous medium used for pattern recording. Computational optical imaging technology has become an effective way for people to study microscopic imaging. At present, different imaging systems are composed of continuous optical elements such as lenses and prisms or discrete optical elements such as spatial light modulators or digital micro-mirror devices. The current computing technology has permeated all aspects of imaging systems and gradually promotes the digitization of optical imaging systems. This book summarizes the representative work done in this field and introduces the latest results. Computing technology plays an important bridging role between theories of optics and experimental systems, which inspires more comprehensive and in-depth research. It has the advantages of high repeatability, flexibility, strong computing power and low cost. In this multidisciplinary field, researchers in computer science, optics and information science have joined together to extend its depth and breadth. Targeting cutting-edge issues to be solved in computational optics, this book introduces a variety of methods that involve theoretical innovations and technical breakthroughs in imaging resolution, the field of view, imaging speed, and computing speed. It intends to provide a handy reference and technical support for graduate students, researchers and professionals engaged in the study and practice of computational optical imaging.