This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
This book introduces readers to the preparation of two-dimensional metal sulfide/oxide for CO2 photoreduction. Based on two-dimensional metal sulfide/oxide materials, this book establishes the structure-to-property relationships of photocatalyst for CO2 photoreduction, and reveals the intrinsic mechanism of the CO2 photoreduction by virtue of the in situ characterization techniques and the density functional theory calculations. It is anticipated that this book will help to identify empirical guidelines for designing and fabricating high-performance catalysts of solar-driven CO2 reduction.
This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
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