Download or read book Bayesian Cross Entropy Reconstruction of Complex Images written by and published by . This book was released on 1992 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bajkova's generalized maximum entropy method (GMEM) for reconstruction of complex signals has been further generalized through the use of Kullback-Leibler cross entropy. This permits a priori information in the form of bias functions to be inserted into the algorithm, with resulting benefits to reconstruction quality. Also, the cross-entropy term is imbedded within an overall m.a.p. (maximum a posteriori probability) approach that includes a noise-rejection term. A further modification is transformation of the large, two-dimensional problem due to modest-sized 2-D images into a sequence of one- dimensional problems. Finally, the added operation of three-point median window filtration of each intermediary, one-dimensional output is shown to suppress edge-top overshoots while augmenting edge gradients. Applications to simulated complex images are shown.
Download or read book Maximum Entropy and Bayesian Methods written by Ali Mohammad-Djafari and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon struction problems.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1994 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Intelligent Systems written by Francesco Carlo Morabito and published by IOS Press. This book was released on 1997 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.
Download or read book Proceedings of Workshop on Maximum Entropy and Bayesian Methods 13th Held in Santa Barbara California on August 1 5 1993 written by and published by . This book was released on 1993 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Partial contents include: (1) AN INTRODUCTION TO MODEL SELECTION USING PROBABILITY THEORY AS LOGIC; (2) HYPERPARAMETERS: OPTIMIZE, OR INTEGRATE OUT?; (3) WHAT BAYES HAS TO SAY ABOUT THE EVIDENCE PROCEDURE; (4) RECONCILING BAYESIAN AND NON-BAYESIAN ANALYSIS; (5) BAYESIAN ROBUSTNESS: A NEW LOOK FROM GEOMETRY; (6) LOCAL POSTERIOR ROBUSTNESS WITH PARAMETRIC PRIORS: MAXIMUM AND AVERAGE SENSITIVITY; (7) BAYESIAN ROBUSTNESS: A NEW LOOK FROM GEOMETRY; (8) LOCAL POSTERIOR ROBUSTNESS WITH PARAMETRIC PRIORS: MAXIMUM AND AVERAGE SENSITIVITY; (9) TREE-STRUCTURED CLUSTERING VIA THE MINIMUM CROSS ENTROPY PRINCIPLE; (10) A SCALE-INVARIANT BAYESIAN METHOD TO SOLVE LINEAR INVERSE PROBLEMS; (11) MAXIMUM ENTROPY SIGNAL TRANSMISSION; (12) MAXIMUM QUANTUM ENTROPY FOR CLASSICAL DENSITY FUNCTIONS; (13) SMOOTHING IN MAXIMUM QUANTUM ENTROPY; (14) DENSITY ESTIMATION BY MAXIMUM QUANTUM ENTROPY; (15) A BAYESIAN GENETIC ALGORITHM FOR CALCULATING MAXIMUM ENTROPY DISTRIBUTIONS; (16) A MATHEMATICIAN PACKAGE FOR SYMBOLIC BAYESIAN CALCULATIONS; (17) A MULTICRITERION EVALUATION OF THE MEMSYS5 PROGRAM FOR PET; (18) PARALLEL MAXIMUM ENTROPY RECONSTRUCTION OF PET IMAGES; (19) BAYESIAN NON-LINEAR MODELING FOR THE PREDICTION COMPETITION; (20) BAYESIAN MO%MODELING AND CLASSIFICATION OF NEURAL SIGNALS; (21) PIXON-BASED IMAGE RECONSTRUCTION; (22) SUPER-RESOLVED SURFACE RECONSTRUCTION FROM MULTIPLE IMAGES; (23) BAYESIAN ANALYSIS OF LINEAR PHASED-ARRAY RADAR; (24) NEURAL NETWORK IMAGE DECONVOLUTION; (25) BAYESIAN RESOLUTION OF CLOSELY SPACED OBJECT; (26) ULTRASONIC IMAGE IMPROVEMENT THROUGH THE USE OF BAYESIAN PRIORS WHICH ARE BASED ON ADJACENT SCANNED TRACES; and (27) APPLICATION OF MAXENT TO INVERSE PHOTOEMISSION SPECTROSCOPY.
Download or read book Radar Imaging of Airborne Targets written by Brett Borden and published by CRC Press. This book was released on 1999-01-01 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radar-based imaging of aircraft targets is a topic that continues to attract a lot of attention, particularly since these imaging methods have been recognized to be the foundation of any successful all-weather non-cooperative target identification technique. Traditional books in this area look at the topic from a radar engineering point of view. Consequently, the basic issues associated with model error and image interpretation are usually not addressed in any substantive fashion. Moreover, applied mathematicians frequently find it difficult to read the radar engineering literature because it is jargon-laden and device specific, meaning that the skills most applicable to the problem's solution are rarely applied. Enabling an understanding of the subject and its current mathematical research issues, Radar Imaging of Airborne Targets: A Primer for Applied Mathematicians and Physicists presents the issues and techniques associated with radar imaging from a mathematical point of view rather than from an instrumentation perspective. The book concentrates on scattering issues, the inverse scattering problem, and the approximations that are usually made by practical algorithm developers. The author also explains the consequences of these approximations to the resultant radar image and its interpretation, and examines methods for reducing model-based error.
Download or read book The Application of Maximum Entropy and Bayesian Optimization Methods to Image Reconstruction from Projections written by Gabor T. Herman and published by . This book was released on 1982 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Maximum Entropy and Bayesian Methods written by G. Erickson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume has its origin in the Seventeenth International Workshop on Maximum Entropy and Bayesian Methods, MAXENT 97. The workshop was held at Boise State University in Boise, Idaho, on August 4 -8, 1997. As in the past, the purpose of the workshop was to bring together researchers in different fields to present papers on applications of Bayesian methods (these include maximum entropy) in science, engineering, medicine, economics, and many other disciplines. Thanks to significant theoretical advances and the personal computer, much progress has been made since our first Workshop in 1981. As indicated by several papers in these proceedings, the subject has matured to a stage in which computational algorithms are the objects of interest, the thrust being on feasibility, efficiency and innovation. Though applications are proliferating at a staggering rate, some in areas that hardly existed a decade ago, it is pleasing that due attention is still being paid to foundations of the subject. The following list of descriptors, applicable to papers in this volume, gives a sense of its contents: deconvolution, inverse problems, instrument (point-spread) function, model comparison, multi sensor data fusion, image processing, tomography, reconstruction, deformable models, pattern recognition, classification and group analysis, segmentation/edge detection, brain shape, marginalization, algorithms, complexity, Ockham's razor as an inference tool, foundations of probability theory, symmetry, history of probability theory and computability. MAXENT 97 and these proceedings could not have been brought to final form without the support and help of a number of people.
Download or read book Maximum Entropy and Bayesian Methods Santa Barbara California U S A 1993 written by Glenn R. Heidbreder and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics. Audience: Researchers and other professionals whose work requires the application of practical statistical inference.
Download or read book Maximum Entropy and Bayesian Methods written by P.F. Fougère and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume represents the proceedings of the Ninth Annual MaxEnt Workshop, held at Dartmouth College in Hanover, New Hampshire, on August 14-18, 1989. These annual meetings are devoted to the theory and practice of Bayesian Probability and the Maximum Entropy Formalism. The fields of application exemplified at MaxEnt '89 are as diverse as the foundations of probability theory and atmospheric carbon variations, the 1987 Supernova and fundamental quantum mechanics. Subjects include sea floor drug absorption in man, pressures, neutron scattering, plasma equilibrium, nuclear magnetic resonance, radar and astrophysical image reconstruction, mass spectrometry, generalized parameter estimation, delay estimation, pattern recognition, heave responses in underwater sound and many others. The first ten papers are on probability theory, and are grouped together beginning with the most abstract followed by those on applications. The tenth paper involves both Bayesian and MaxEnt methods and serves as a bridge to the remaining papers which are devoted to Maximum Entropy theory and practice. Once again, an attempt has been made to start with the more theoretical papers and to follow them with more and more practical applications. Papers number 29, 30 and 31, by Kesaven, Seth and Kapur, represent a somewhat different, perhaps even "unorthodox" viewpoint, and are included here even though the editor and, indeed many in the audience at Dartmouth, disagreed with their content. I feel that scientific disagreements are essential in any developing field, and often lead to a deeper understanding.
Download or read book Bayesian Image Reconstruction written by and published by . This book was released on 1989 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we propose a Maximum a Posteriori (MAP) method of image reconstruction in the Bayesian framework for the Poisson noise case. We use entropy to define the prior probability and likelihood to define the conditional probability. The method uses sharpness parameters which can be theoretically computed or adjusted, allowing us to obtain MAP reconstructions without the problem of the grey'' reconstructions associated with the pre Bayesian reconstructions. We have developed several ways to solve the reconstruction problem and propose a new iterative algorithm which is stable, maintains positivity and converges to feasible images faster than the Maximum Likelihood Estimate method. We have successfully applied the new method to the case of Emission Tomography, both with simulated and real data. 41 refs., 4 figs., 1 tab.
Download or read book Applications of Digital Image Processing written by and published by . This book was released on 1994 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Maximum Entropy and Bayesian Methods in Inverse Problems written by C.R. Smith and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxi mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily ~xchanged. That the workshops were at least partially successful is borne out by the fact that there have been two succeeding workshops, and the upcoming Fifth Workshop promises to be the largest of all. These workshops and their proceedings could not have been brought to their final form without the substantial help of a number of people. The support of David Hofmann, the past chairman, and Glen Rebka, Jr. , the present chairman of the Physics Department of the University of Wyoming, has been strong and essential. Glen has taken a special interest in seeing that the proceedings have received the support required for their comple tion. The financial support of the Office of University Research Funds, University of Wyoming, is gratefully acknowledged. The secretarial staff, in particular Evelyn Haskell, Janice Gasaway, and Marce Mitchum, of the University of Wyoming Physics Department has contributed a great number of hours in helping C. Ray Smith organize and direct the workshops.
Download or read book Preliminary Studies on the Feasibility of Addition of Vertex View to Conventional Brain Spect Imaging written by Chor-Yi Ng and published by . This book was released on 1997 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Maximum Entropy and Bayesian Methods written by Kenneth M. Hanson and published by Springer Science & Business Media. This book was released on 1996 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods, held in Santa Fe, New Mexico, U.S.A., from July 31-August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific inference in the natural and social sciences, engineering and medicine. Practical applications include, among others, parametric model fitting and model selection, ill-posed inverse problems, image reconstruction signal processing, decision making, and spectrum estimation. Fundamental applications include the common foundations for statistical inference, statistical physics and information theory. Specific sessions during the workshop focused on time series analysis, machine learning, deformable geometric models, and data analysis of Monte Carlo simulations, as well as reviewing the relation between maximum entropy and information theory. Audience: This book should be of interest to scientists, engineers, medical professionals, and others engaged in such topics as data analysis, statistical inference, image processing, and signal processing.
Download or read book Signal Processing Sensor Fusion and Target Recognition written by and published by . This book was released on 1998 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
