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Download or read book Computational Imaging and Inverse Techniques for High-resolution and Instantaneous Spectral Imaging written by and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ayush Bhandari
Publisher : MIT Press
ISBN 13 : 0262368374
Total Pages : 482 pages
Book Rating : 4.2/5 (623 download)
Download or read book Computational Imaging written by Ayush Bhandari and published by MIT Press. This book was released on 2022-10-25 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: A 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.
Author : Keith J. Dillon
Publisher :
ISBN 13 : 9781303818103
Total Pages : 160 pages
Book Rating : 4.8/5 (181 download)
Download or read book Optimization in Computational Imaging and Inverse Problems written by Keith J. Dillon and published by . This book was released on 2014 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: With modern optimization techniques it is generally possible to form some kind of image estimate using an arbitrary collection of views or sensor measurements of an unknown object. The question is what is the best result that one can get with that data and will it be acceptable? We use optimization theory to analyze inverse problems such as this and formulate strategies for understanding how much high resolution information is contained in the data and how to intelligently reconstruct the best image possible. We start by formulating the reconstruction problem for a variety of different imaging systems, which we can view as special cases or extensions of tomography. In order to understand the range of potential solutions to such inverse problems, we formulate the optimization problems of bounding the elements of the unknown. We proceed to develop a novel approach to investigating inverse problems by defining uniqueness as the case where the upper and lower bounds on possible values each element can take are equal. This allows us both to express uniqueness on an element-wise basis, e.g. some elements may be uniquely-reconstructed while others may not, and to formulate conditions for uniqueness. These conditions provide a generalization of known conditions for unique solutions to systems with sparse or non-negative unknowns. We use these uniqueness conditions to pose a novel approach to estimation of system resolution and to thereby find low-resolution approximations which provide as much resolution as possible while retaining the uniqueness of the solution. Finally we demonstrate the extension to noisy and regularized problems using a Bayesian formulation which allows us to form trade-offs between resolution and uncertainty.
Author : Marco Donatelli
Publisher : Springer Nature
ISBN 13 : 3030328821
Total Pages : 171 pages
Book Rating : 4.0/5 (33 download)
Download or read book Computational Methods for Inverse Problems in Imaging written by Marco Donatelli and published by Springer Nature. This book was released on 2019-11-26 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent mathematical methods in the area of inverse problems in imaging with a particular focus on the computational aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the significant features of the image. The book describes computational methods to efficiently address these problems based on new optimization algorithms for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also discusses various current and challenging applications in fields such as astronomy, microscopy, and biomedical imaging. The book is intended for researchers and advanced graduate students interested in inverse problems and imaging.
Author : Stephen Joseph Olivas
Publisher :
ISBN 13 : 9781321765274
Total Pages : 126 pages
Book Rating : 4.7/5 (652 download)
Download or read book Physical Optics Based Computational Imaging Systems written by Stephen Joseph Olivas and published by . This book was released on 2015 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an ongoing demand on behalf of the consumer, medical and military industries to make lighter weight, higher resolution, wider field-of-view and extended depth-of-focus cameras. This leads to design trade-offs between performance and cost, be it size, weight, power, or expense. This has brought attention to finding new ways to extend the design space while adhering to cost constraints. Extending the functionality of an imager in order to achieve extraordinary performance is a common theme of computational imaging, a field of study which uses additional hardware along with tailored algorithms to formulate and solve inverse problems in imaging. This dissertation details four specific systems within this emerging field: a Fiber Bundle Relayed Imaging System, an Extended Depth-of-Focus Imaging System, a Platform Motion Blur Image Restoration System, and a Compressive Imaging System. The Fiber Bundle Relayed Imaging System is part of a larger project, where the work presented in this thesis was to use image processing techniques to mitigate problems inherent to fiber bundle image relay and then, form high-resolution wide field-of-view panoramas captured from multiple sensors within a custom state-of-the-art imager. The Extended Depth-of-Focus System goals were to characterize the angular and depth dependence of the PSF of a focal swept imager in order to increase the acceptably focused imaged scene depth. The goal of the Platform Motion Blur Image Restoration System was to build a system that can capture a high signal-to-noise ratio (SNR), long-exposure image which is inherently blurred while at the same time capturing motion data using additional optical sensors in order to deblur the degraded images. Lastly, the objective of the Compressive Imager was to design and build a system functionally similar to the Single Pixel Camera and use it to test new sampling methods for image generation and to characterize it against a traditional camera. These computational imaging systems share a common theme in that they seek to accomplish camera designs that meet more demanding system requirements through the use of additional measurements made possible by hardware modifications, while relying on modeling and computational methods in order to provide valuable scene information.
Author :
Publisher :
ISBN 13 :
Total Pages : 464 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computational Imaging written by and published by . This book was released on 2006 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dr. Yuetong Lin
Publisher : DEStech Publications, Inc
ISBN 13 : 1605951323
Total Pages : 460 pages
Book Rating : 4.6/5 (59 download)
Download or read book 2013 International Conference on Computer Science and Artificial Intelligence written by Dr. Yuetong Lin and published by DEStech Publications, Inc. This book was released on 2014-11-16 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of ICCSAI2013 is to provide a platform for the presentation of top and latest research results in global scientific areas. The conference aims to provide a high level international forum for researcher, engineers and practitioners to present and discuss recent advances and new techniques in computer science and artificial intelligence. It also serves to foster communications among researcher, engineers and practitioners working in a common interest in improving computer science, artificial intelligence and the related fields. We have received 325 numbers of papers through "Call for Paper", out of which 94 numbers of papers were accepted for publication in the conference proceedings through double blind review process. The conference is designed to stimulate the young minds including Research Scholars, Academicians, and Practitioners to contribute their ideas, thoughts and nobility in these two disciplines.
Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (946 download)
Download or read book Computational Methods for High Resolution Imaging and Data Mining written by and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research problems investigated during the funding period included enabling mathematics and computational research in integrated optical systems design as well as spectral data mining and analysis. Particular applications of this research to enhance image restoration of integrated optical-digital systems and space object identification were addressed. A novel minimization-maximization approach was proposed and successfully employed to optimize the design of integrated imaging systems that maximize the information strength in an incoming image signal before it is discretized and sampled in a CCD array. Five research papers were published on this work. Novel constrained nonnegative matrix factorization (CNMF) algorithms were developed and successfully used to extract material features and material composition from spectral traces of man-made space objects, such as geosynchronous satellites. A total of four papers were published as a result of this work. Technology transfer included collaboration with researchers from Oceanit Labs and Boeing Inc. (2 research papers) and transition of our CNMF algorithms for text mining and document clustering applications (2 research papers). Research results were presented at the 2004 SIAM International Conference on Data Mining, at the Annual SPIE meeting and at the AMOS Technical Conference in both 2003 and 2004.
Author :
Publisher : Margret Schneider
ISBN 13 : 3800728281
Total Pages : 598 pages
Book Rating : 4.8/5 (7 download)
Download or read book Proceedings written by and published by Margret Schneider. This book was released on 2004 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Novel Methods in Computational Imaging with Applications in Remote Sensing written by and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : This dissertation is devoted to novel computational imaging methods with applications in remote sensing. Computational imaging methods are applied to three distinct applications including imaging and detection of buried explosive hazards utilizing array radar, high resolution imaging of satellites in geosynchronous orbit utilizing optical hypertelescope arrays, and characterization of atmospheric turbulence through multi-frame blind deconvolution utilizing conventional optical digital sensors. The first application considered utilizes a radar array employed as a forward looking ground penetrating radar system with applications in explosive hazard detection. A penalized least squares technique with sparsity-inducing regularization is applied to produce imagery, which is consistent with the expectation that objects are sparsely populated but extended with respect to the pixel grid. Additionally, a series of pre-processing steps is demonstrated which result in a greatly reduced data size and computational cost. Demonstrations of the approach are provided using experimental data and results are given in terms of signal to background ratio, image resolution, and relative computation time. The second application involves a sparse-aperture telescope array configured as a hypertelescope with applications in long range imaging. The penalized least squares technique with sparsity-inducing regularization is adapted and applied to this very different imaging modality. A comprehensive study of the algorithm tuning parameters is performed and performance is characterized using the Structure Similarity Metric (SSIM) to maximize image quality. Simulated measurements are used to show that imaging performance achieved using the pro- posed algorithm compares favorably in comparison to conventional Richardson-Lucy deconvolution. The third application involves a multi-frame collection from a conventional digital sensor with the primary objective of characterizing the atmospheric turbulence in the medium of propagation. In this application a joint estimate of the image is obtained along with the Zernike coefficients associated with the atmospheric PSF at each frame, and the Fried parameter r0 of the atmosphere. A pair of constraints are applied to a penalized least squares objective function to enforce the theoretical statistics of the set of PSF estimates as a function of r0. Results of the approach are shown with both simulated and experimental data and demonstrate excellent agreement between the estimated r0 values and the known or measured r0 values respectively.
Author : Clayton T. Miller
Publisher :
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4.:/5 (259 download)
Download or read book Experimental and Computational Imaging Applications written by Clayton T. Miller and published by . This book was released on 2008 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Nikhil Mehta
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (959 download)
Download or read book Computational Methods and Applications in Optical Imaging and Spectroscopy written by Nikhil Mehta and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation presents my work in application of computational techniques and the resulting enhancements to several non-linear and ultrafast optical imaging and spectroscopy modalities. The importance of novel computational optical imaging schemes which aim to overcome the limitations of conventional imaging techniques by leveraging the availability of computational resources and the vast body of literature in computational signal processing is emphasized. In particular the computational techniques of compressive sensing and two dimensional phase retrieval are introduced in the broad context as inversion techniques suitable for optical applications including coherent anti-Stokes Raman holography, non-linear spectroscopy, and ultrashort pulse characterization. It is shown that both computational techniques seek to improve key signal metrics such as higher signal to noise ratio (SNR) and better resolution than can be obtained traditionally within the specific imaging modality.Coherent anti-Stokes Raman scattering (CARS) holography is a novel imaging modality which combines the principles of coherent anti-Stokes Raman scattering and holography to provide label-free, chemical selective, scanning-free, and single shot 3D imaging modality. Compressive CARS holography is introduced as a sparsity constrained holographic image reconstruction technique to enhance the optical sectioning capability of CARS holography by suppressing out-of-focus background noise inherent in 3D images processed from a typical single 2D hologram. The advantages of compressive sensing guided signal acquisition strategy in optical spectroscopy is presented by proposing compressive multi-heterodyne optical spectroscopy as a novel technique for ultra-high resolution frequency comb spectroscopy. Using numerical simulations, our proposed compressive frequency comb spectroscopy technique is shown to be well-suited for recording narrow line spectra at ultra-high sampling over broad spectral range by leveraging sparsity inherent in such spectra.We next present applications of phase retrieval in optical imaging and spectroscopy. In particular we use 2D phase retrieval technique to enhance the resolution of sum frequency generation vibrational spectroscopy (SFG-VS) whose unique surface selectivity enables qualitative and quantitative study of chemical species at surfaces/interfaces. Specifically, our key contribution is that we show that our 2D phase retrieval based inversion algorithm enables measurement of characteristic molecular vibrational spectra of air/dimethyl sulfoxide interface at resolutions significantly better than that achievable in conventional SFG-VS acquisition system. Lastly, we address the limitation of the commonly used pulse characterization technique: frequency resolved optical gating (FROG) to spatio-temporally characterize the ultrafast pulse. Using a simple spectral holographic recording technique, we present a modified 2D phase retrieval based algorithm to measure the spectral phase at every spatial location in the vicinity of focus of an objective and thereby track the spatio-temporal evolution of the pulse along its optical axis.
Author : Vishal Monga
Publisher : Springer
ISBN 13 : 3319616099
Total Pages : 238 pages
Book Rating : 4.3/5 (196 download)
Download or read book Handbook of Convex Optimization Methods in Imaging Science written by Vishal Monga and published by Springer. This book was released on 2017-10-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
Author : Ramesh Raskar
Publisher : A K Peters/CRC Press
ISBN 13 : 9781568813134
Total Pages : 0 pages
Book Rating : 4.8/5 (131 download)
Download or read book Computational Photography written by Ramesh Raskar and published by A K Peters/CRC Press. This book was released on 2016-05-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational 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.
Author : Simon Širca
Publisher : Springer
ISBN 13 : 3319786199
Total Pages : 880 pages
Book Rating : 4.3/5 (197 download)
Download or read book Computational Methods in Physics written by Simon Širca and published by Springer. This book was released on 2018-06-21 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to help advanced undergraduate, graduate, and postdoctoral students in their daily work by offering them a compendium of numerical methods. The choice of methods pays significant attention to error estimates, stability and convergence issues, as well as optimization of program execution speeds. Numerous examples are given throughout the chapters, followed by comprehensive end-of-chapter problems with a more pronounced physics background, while less stress is given to the explanation of individual algorithms. The readers are encouraged to develop a certain amount of skepticism and scrutiny instead of blindly following readily available commercial tools. The second edition has been enriched by a chapter on inverse problems dealing with the solution of integral equations, inverse Sturm-Liouville problems, as well as retrospective and recovery problems for partial differential equations. The revised text now includes an introduction to sparse matrix methods, the solution of matrix equations, and pseudospectra of matrices; it discusses the sparse Fourier, non-uniform Fourier and discrete wavelet transformations, the basics of non-linear regression and the Kolmogorov-Smirnov test; it demonstrates the key concepts in solving stiff differential equations and the asymptotics of Sturm-Liouville eigenvalues and eigenfunctions. Among other updates, it also presents the techniques of state-space reconstruction, methods to calculate the matrix exponential, generate random permutations and compute stable derivatives.
Author : Gabriel Cristobal
Publisher : John Wiley & Sons
ISBN 13 : 3527635254
Total Pages : 949 pages
Book Rating : 4.5/5 (276 download)
Download or read book Optical and Digital Image Processing written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2013-02-12 with total page 949 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News
Author :
Publisher :
ISBN 13 :
Total Pages : 702 pages
Book Rating : 4.:/5 (31 download)
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:
