Download or read book Restoration for Sampled Imaging Systems written by Lynnette Wood and published by . This book was released on 1986 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analysis of Sampled Imaging Systems written by Richard H. Vollmerhausen and published by SPIE Press. This book was released on 2000 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in solid state detector arrays, flat panel displays and digital image processing have prompted an increasing variety of sampled imaging products and possibilities. These technology developments provide new opportunities and problems for the design engineer and system analyst - this tutorial's intended reader.
Download or read book An Analysis of Aliasing and Image Restoration Performance for Digital Imaging Systems written by Iman Namroud and published by . This book was released on 2014 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is desirable to obtain a high image quality when designing an imaging system. The design depends on many factors such as the optics, the pitch, and the cost. The effort to enhance one aspect of the image may reduce the chances of enhancing another one, due to some tradeoffs. There is no imaging system capable of producing an ideal image, since that the system itself presents distortion in the image. When designing an imaging system, some tradeoffs favor aliasing, such as the desire for a wide field of view (FOV) and a high signal to noise ratio (SNR). The reason is that aliasing is less disturbing visually if compared against the noise and blur. Some previous research attempted to define the best combination of the optics and pitch that would result in the best image quality that can be achieved practically. However, those studies may have not considered that the post processing can be conducted inside the imaging system. In this work, we reinspect the optics of the imaging system by taking the post image processing into account. Among the optics, we are more concerned about the aspect of the f-number. Varying the f-number controls the aperture and the focal length, which affect the number of passing light photons, the width of FOV, and the speed of the shutter. Optimizing the f-number would impact the amount of noise, blur, and undersampling contained in an image. To simulate the post processing, various restoration methods are used. The restoration methods are the adaptive Wiener filter (AWF), Wiener filter, lanczos, and the bicubic interpolation. We mainly focus on the AWF and its performance, since it is a super resolution (SR) algorithm that is designed to restore images that are sampled below the Nyquist rate. Despite the fact that the AWF is a SR algorithm, it was built to expect multiple low resolution (LR) images as an input, and was never used to restore images from only one LR image. So, we employ the AWF as a single frame SR algorithm for the first time, and compare its performance against the other three methods, in order to achieve the best f-number that would introduce the best image quality available.
Download or read book Image Restoration for Long Wavelength Imaging Systems written by Min-Cheng Pan and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sampling and Restoration of Images Formed in Partially Coherent Light written by Stanford University. Stanford Electronics Laboratories and published by . This book was released on 1974 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, the author gives a new description of the process of image formation by an optical system of a generalized partially coherent object. The imaging of a partially coherent object distribution is considered here as a process of the retransformation of the far-field coherence function due to the object. Based on this approach, the image can be shown to be built up from an incoherent superposition of a number of sinusoidal fringes of intensity. Each such sinusoidal intensity fringe, which we call a Young's interference fringe component, can be obtained from a sampling of the far-field coherence function of the object. The imaging of a partially coherent object is thus considered here from a sampling and image synthesis viewpoint.
Download or read book Image Restoration written by Bahadir Kursat Gunturk and published by CRC Press. This book was released on 2018-09-03 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Image denoising and deblurring Different image restoration methods and recent advances such as nonlocality and sparsity Blind restoration under space-varying blur Super-resolution restoration Learning-based methods Multi-spectral and color image restoration New possibilities using hybrid imaging systems 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.
Download or read book Computationally Efficient Video Restoration for Nyquist Sampled Imaging Sensors Combining an Affine motion Based Temporal Kalman Filter and Adaptive Wiener Filter written by Michael Armand Rucci and published by . This book was released on 2014 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis we present a computationally efficient video restoration algorithm to address both blur and noise for a Nyquist sampled imaging system. The proposed method utilizes a temporal Kalman filter followed by a correlation-model based spatial adaptive wiener filter (AWF). The Kalman filter employs an affine background motion model and novel process-noise variance estimate. We also propose and demonstrate a new multi-delay temporal Kalman filter designed to more robustly treat local motion. The AWF is a spatial operation that performs deconvolution and adapts to the spatially-varying residual noise left in the Kalman filter stage. In image areas where the temporal Kalman filter is able to provide significant noise reduction, the AWF can be aggressive in its deconvolution. In other areas, where less noise reduction is achieved with the Kalman filter, the AWF balances the deconvolution with spatial noise reduction. In this way, the Kalman filter and AWF work together effectively, but without the computational burden of full joint spatio-temporal processing. We also propose a novel hybrid system that combines a temporal Kalman filter and BM3D processing. To illustrate the efficacy of the proposed methods, we test the algorithms on both simulated imagery and video collected with a visible camera.
Download or read book Image Restoration written by Aymeric Histace and published by BoD – Books on Demand. This book was released on 2012-04-04 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a sample of recent contributions of researchers all around the world in the field of image restoration. The book consists of 15 chapters organized in three main sections (Theory, Applications, Interdisciplinarity). Topics cover some different aspects of the theory of image restoration, but this book is also an occasion to highlight some new topics of research related to the emergence of some original imaging devices. From this arise some real challenging problems related to image reconstruction/restoration that open the way to some new fundamental scientific questions closely related with the world we interact with.
Download or read book Restoration of Defocused Imagery from Incoherently Illuminated Imaging Systems with Modeled Point Spread Functions and Wiener Filters written by Mark R. Burky and published by . This book was released on 2008 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Image and Video Technology written by Long-Wen Chang and published by Springer Science & Business Media. This book was released on 2006-11-29 with total page 1371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First Pacific Rim Symposium on Image and Video Technology, PSIVT 2006, held in Hsinchu, Taiwan in December 2006. The 76 revised full papers and 58 revised poster papers cover a wide range of topics, including all aspects of video and multimedia, both technical and artistic perspectives and both theoretical and practical issues.
Download or read book Digital Image Restoration written by Harry C. Andrews and published by Prentice Hall. This book was released on 1977 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Restoration written by Bahadir Kursat Gunturk and published by CRC Press. This book was released on 2018-09-03 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: Image denoising and deblurring Different image restoration methods and recent advances such as nonlocality and sparsity Blind restoration under space-varying blur Super-resolution restoration Learning-based methods Multi-spectral and color image restoration New possibilities using hybrid imaging systems 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.
Download or read book A System Engineering Approach to Imaging written by Norman S. Kopeika and published by SPIE Press. This book was released on 1998 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook addresses imaging from the system engineering point of view, examining advantages and disadvantages of imaging in various spectral regions. Focuses on imaging principles and system concepts, rather than devices. Intended as a senior-year undergraduate or graduate level engineering textbook. A solution manual is included.
Download or read book Image Recovery Theory and Application written by Henry Stark and published by Elsevier. This book was released on 2013-04-25 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Recovery: Theory and Application focuses on signal recovery and synthesis problems. This book discusses the concepts of image recovery, including regularization, the projection theorem, and the pseudoinverse operator. Comprised of 13 chapters, this volume begins with a review of the basic properties of linear vector spaces and associated operators, followed by a discussion on the Gerchberg-Papoulis algorithm. It then explores image restoration and the basic mathematical theory in image restoration problems. The reader is also introduced to the problem of obtaining artifact-free computed tomographic reconstruction. Other chapters consider the importance of Bayesian approach in the context of medical imaging. In addition, the book discusses the linear programming method, which is particularly important for images with large number of pixels with zero value. Such images are usually found in medical imaging, microscopy, electron microscopy, and astronomy. This book can be a valuable resource to materials scientists, engineers, computed tomography technologists, and astronomers.
Download or read book Hybrid Artificial Intelligence Systems written by Emilio Corchado and published by Springer. This book was released on 2008-09-30 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Third International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008) presented the most recent developments in the dynamically expanding realm of symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques. Hybrid intelligent systems have become incre- ingly popular given their capabilities to handle a broad spectrum of real-world c- plex problems which come with inherent imprecision, uncertainty and vagueness, high-dimensionality, and non stationarity. These systems provide us with the oppor- nity to exploit existing domain knowledge as well as raw data to come up with prom- ing solutions in an effective manner. Being truly multidisciplinary, the series of HAIS workshops offers a unique research forum to present and discuss the latest theoretical advances and real-world applications in this exciting research field. This volume of Lecture Notes on Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2008 held in University of Burgos, Burgos, Spain, Sept- ber 2008 The global purpose of HAIS conferences has been to form a broad and interdis- plinary forum for hybrid artificial intelligence systems and associated learning pa- digms, which are playing increasingly important roles in a large number of application areas. Since its first edition in Brazil in 2006, HAIS has become an important forum for researchers working on fundamental and theoretical aspects of hybrid artificial intel- gence systems based on the use of agents and multiagent systems, bioinformatics and bio-inspired models, fuzzy systems, artificial vision, artificial neural networks, opti- zation models and alike.
Download or read book Optical Imaging and Spectroscopy written by David J. Brady and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: An 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.
Download or read book INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION written by Abdelhamid Bouchachia and published by Springer Science & Business Media. This book was released on 2010-09-01 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as attested by a large number of studies reporting on the successful application of CI models in nonlinear science (for example, adaptive control, signal processing, medical diagnostic, pattern formation, living systems, etc.). This volume summarizes the state-of-the-art of CI in the context of nonlinear dynamic systems and synchronization. Aiming at fostering new breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined with computational intelligence techniques. In addition, all the chapters have a tutorial-oriented structure.
