Coded Optical Imaging
Author: Jinyang Liang
Publisher: Springer Nature
Published:
Total Pages: 697
ISBN-13: 3031390628
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Handbook of Convex Optimization Methods in Imaging Science
Author: Vishal Monga
Publisher: Springer
Published: 2017-10-27
Total Pages: 238
ISBN-13: 3319616099
DOWNLOAD EBOOKThis book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization with the goal of designing tractable algorithms. Throughout the handbook, the authors introduce topics on the most key aspects of image acquisition and processing that are based on the formulation and solution of novel optimization problems. The first part includes a review of the mathematical methods and foundations required, and covers topics in image quality optimization and assessment. The second part of the book discusses concepts in image formation and capture from color imaging to radar and multispectral imaging. The third part focuses on sparsity constrained optimization in image processing and vision and includes inverse problems such as image restoration and de-noising, image classification and recognition and learning-based problems pertinent to image understanding. Throughout, convex optimization techniques are shown to be a critically important mathematical tool for imaging science problems and applied extensively. Convex Optimization Methods in Imaging Science is the first book of its kind and will appeal to undergraduate and graduate students, industrial researchers and engineers and those generally interested in computational aspects of modern, real-world imaging and image processing problems.
Computational Imaging
Author: Ayush Bhandari
Publisher: MIT Press
Published: 2022-10-25
Total Pages: 482
ISBN-13: 0262046474
DOWNLOAD EBOOKA comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context.
Computational Photography
Author: Ramesh Raskar
Publisher: A K Peters/CRC Press
Published: 2016-05-15
Total Pages: 0
ISBN-13: 9781568813134
DOWNLOAD EBOOKComputational Photography combines plentiful computing, digital sensors, modern optics, actuators, probes, and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. This book provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for graphics, special effects, scene comprehension, and art. The computational techniques discussed cover topics in exploiting new ideas in manipulating optics, illumination, and sensors at time of capture. In addition, the authors describe sophisticated reconstruction procedures from direct and indirect pixel measurements that go well beyond the traditional digital darkroom experience.
Essential Principles of Image Sensors
Author: Takao Kuroda
Publisher: CRC Press
Published: 2017-12-19
Total Pages: 192
ISBN-13: 1482220067
DOWNLOAD EBOOKProviding a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential Principles of Image Sensors discusses image information and its four factors: space, light intensity, wavelength, and time. Featuring clarifying and insightful illustrations, this must-have text: Explains how image sensors convert optical image information into image signals Treats space, wavelength, and time as digitized built-in coordinate points in image sensors and systems Details the operational principles, pixel technology, and evolution of CCD, MOS, and CMOS sensors with updated technology Describes sampling theory, presenting unique figures demonstrating the importance of phase Explores causes for the decline of image information quality In a straightforward manner suitable for beginners and experts alike, Essential Principles of Image Sensors covers key topics related to digital imaging including semiconductor physics, component elements necessary for image sensors, silicon as a sensitive material, noises in sensors, and more.
Compendium of Biomedical Instrumentation, 3 Volume Set
Author: Raghbir Singh Khandpur
Publisher: John Wiley & Sons
Published: 2020-02-25
Total Pages: 1794
ISBN-13: 1119288126
DOWNLOAD EBOOKAn essential reference filled with 400 of today's current biomedical instruments and devices Designed mainly for the active bio-medical equipment technologists involved in hands-on functions like managing these technologies by way of their usage, operation & maintenance and those engaged in advancing measurement techniques through research and development, this book covers almost the entire range of instruments and devices used for diagnosis, imaging, analysis, and therapy in the medical field. Compiling 400 instruments in alphabetical order, it provides comprehensive information on each instrument in a lucid style. Each description in Compendium of Biomedical Instrumentation covers four aspects: purpose of the instrument; principle of operation, which covers physics, engineering, electronics, and data processing; brief specifications; and major applications. Devices listed range from the accelerometer, ballistocardiograph, microscopes, lasers, and electrocardiograph to gamma counter, hyperthermia system, microtome, positron emission tomography, uroflowmeter, and many more. Covers almost the entire range of medical instruments and devices which are generally available in hospitals, medical institutes at tertiary, secondary, and peripheral level facilities Presents broad areas of applications of medical instruments/technology, including specialized equipment for various medical specialties, fully illustrated with figures & photographs Contains exhaustive description on state of the art instruments and also includes some generation old legacy instruments which are still in use in some medical facilities. Compendium of Biomedical Instrumentation is a must-have resource for professionals and undergraduate and graduate students in biomedical engineering, as well as for clinical engineers and bio-medical equipment technicians.
High Dynamic Range Video
Author: Frédéric Dufaux
Publisher: Academic Press
Published: 2016-04-27
Total Pages: 631
ISBN-13: 0128030399
DOWNLOAD EBOOKAt the time of rapid technological progress and uptake of High Dynamic Range (HDR) video content in numerous sectors, this book provides an overview of the key supporting technologies, discusses the effectiveness of various techniques, reviews the initial standardization efforts and explores new research directions in all aspects involved in HDR video systems. Topics addressed include content acquisition and production, tone mapping and inverse tone mapping operators, coding, quality of experience, and display technologies. This book also explores a number of applications using HDR video technologies in the automotive industry, medical imaging, spacecraft imaging, driving simulation and watermarking. By covering general to advanced topics, along with a broad and deep analysis, this book is suitable for both the researcher new or familiar to the area. With this book the reader will: - Gain a broad understanding of all the elements in the HDR video processing chain - Learn the most recent results of ongoing research - Understand the challenges and perspectives for HDR video technologies - Covers a broad range of topics encompassing the whole processing chain in HDR video systems, from acquisition to display - Provides a comprehensive overview of this fast emerging topic - Presents upcoming applications taking advantages of HDR
Optical Imaging and Spectroscopy
Author: David J. Brady
Publisher: John Wiley & Sons
Published: 2009-04-27
Total Pages: 530
ISBN-13: 0470443723
DOWNLOAD EBOOKAn essential reference for optical sensor system design This is the first text to present an integrated view of the optical and mathematical analysis tools necessary to understand computational optical system design. It presents the foundations of computational optical sensor design with a focus entirely on digital imaging and spectroscopy. It systematically covers: Coded aperture and tomographic imaging Sampling and transformations in optical systems, including wavelets and generalized sampling techniques essential to digital system analysis Geometric, wave, and statistical models of optical fields The basic function of modern optical detectors and focal plane arrays Practical strategies for coherence measurement in imaging system design The sampling theory of digital imaging and spectroscopy for both conventional and emerging compressive and generalized measurement strategies Measurement code design Linear and nonlinear signal estimation The book concludes with a review of numerous design strategies in spectroscopy and imaging and clearly outlines the benefits and limits of each approach, including coded aperture and imaging spectroscopy, resonant and filter-based systems, and integrated design strategies to improve image resolution, depth of field, and field of view. Optical Imaging and Spectroscopy is an indispensable textbook for advanced undergraduate and graduate courses in optical sensor design. In addition to its direct applicability to optical system design, unique perspectives on computational sensor design presented in the text will be of interest for sensor designers in radio and millimeter wave, X-ray, and acoustic systems.
Image Sensors and Signal Processing for Digital Still Cameras
Author: Junichi Nakamura
Publisher: CRC Press
Published: 2017-12-19
Total Pages: 336
ISBN-13: 1420026852
DOWNLOAD EBOOKShrinking pixel sizes along with improvements in image sensors, optics, and electronics have elevated DSCs to levels of performance that match, and have the potential to surpass, that of silver-halide film cameras. Image Sensors and Signal Processing for Digital Still Cameras captures the current state of DSC image acquisition and signal processing technology and takes an all-inclusive look at the field, from the history of DSCs to future possibilities. The first chapter outlines the evolution of DSCs, their basic structure, and their major application classes. The next few chapters discuss high-quality optics that meet the requirements of better image sensors, the basic functions and performance parameters of image sensors, and detailed discussions of both CCD and CMOS image sensors. The book then discusses how color theory affects the uses of DSCs, presents basic image processing and camera control algorithms and examples of advanced image processing algorithms, explores the architecture and required performance of signal processing engines, and explains how to evaluate image quality for each component described. The book closes with a look at future technologies and the challenges that must be overcome to realize them. With contributions from many active DSC experts, Image Sensors and Image Processing for Digital Still Cameras offers unparalleled real-world coverage and opens wide the door for future innovation.
The high dynamic range imaging pipeline
Author: Gabriel Eilertsen
Publisher: Linköping University Electronic Press
Published: 2018-05-15
Total Pages: 155
ISBN-13: 9176853020
DOWNLOAD EBOOKTechniques for high dynamic range (HDR) imaging make it possible to capture and store an increased range of luminances and colors as compared to what can be achieved with a conventional camera. This high amount of image information can be used in a wide range of applications, such as HDR displays, image-based lighting, tone-mapping, computer vision, and post-processing operations. HDR imaging has been an important concept in research and development for many years. Within the last couple of years it has also reached the consumer market, e.g. with TV displays that are capable of reproducing an increased dynamic range and peak luminance. This thesis presents a set of technical contributions within the field of HDR imaging. First, the area of HDR video tone-mapping is thoroughly reviewed, evaluated and developed upon. A subjective comparison experiment of existing methods is performed, followed by the development of novel techniques that overcome many of the problems evidenced by the evaluation. Second, a largescale objective comparison is presented, which evaluates existing techniques that are involved in HDR video distribution. From the results, a first open-source HDR video codec solution, Luma HDRv, is built using the best performing techniques. Third, a machine learning method is proposed for the purpose of reconstructing an HDR image from one single-exposure low dynamic range (LDR) image. The method is trained on a large set of HDR images, using recent advances in deep learning, and the results increase the quality and performance significantly as compared to existing algorithms. The areas for which contributions are presented can be closely inter-linked in the HDR imaging pipeline. Here, the thesis work helps in promoting efficient and high-quality HDR video distribution and display, as well as robust HDR image reconstruction from a single conventional LDR image.
