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检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data IV"

共 516 条记录，以下是371-380 订阅

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Phase retrieval and phase-space tomography from incomplete data sets

Phase retrieval and phase-space tomography from incomplete d...

引用

conference on image reconstruction from incomplete data III

作者： Testorf, ME Semichaevsky, A Dartmouth Coll Hanover NH 03755 USA

ISBN: (纸本)0819455008

The problem of signal recovery from incomplete data is investigated in the context of phase-space tomography. Particular emphasis is given to the case where only a limited number intensity measurements can be performed, which corresponds to partial coverage of the ambiguity function of the signal. Based on numerical simulations the impact of incomplete knowledge of the ambiguity function on the performance of phase-space tomography is illustrated. Several schemes to address the limited data problem are evaluated. This includes the use of prior information about the phase retrieval problem. In addition, the redundancy of phase-space representations is investigated as the means to recover the signal from partial knowledge of phase space. A generalization of deterministic phase retrieval is introduced which allows one to obtain a model based phase estimate for bandlimited functions. This allows one to use prior information for improving the phase estimate in the presence of noise.

关键词： phase-space tomography phase retrieval deterministic phase retrieval phase-space Wigner distribution function ambiguity function

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Estimating mountain wave windspeeds from sailplane flight data

Estimating mountain wave windspeeds from sailplane flight da...

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conference on image reconstruction from incomplete data III

作者： Millane, RP Brown, RG Enevoldson, E Murray, JE Univ Canterbury Dept Elect & Comp Engn Christchurch 1 New Zealand

ISBN: (纸本)0819455008

Airflow over mountainous terrain can produce stationary atmospheric waves in the lee of the mountains that have large vertical air velocities. These waves are used as sources of lift by sailplane pilots. Methods are developed for inverting flight data of airspeed and GPS-derived position to obtain estimates of the vector windspeed in mountain waves. data from flight path segments with significantly different ground velocities within a region of constant windspeed give a well-determined solution for the windspeed. The methods are applied to flight data from a Perlan Project flight in lee waves of the Sierra Nevada Mountains in California.

关键词： Global Positioning System Error analysis image segmentation data analysis Temperature metrology Atmospheric modeling Clouds Computer engineering Computing systems Stratosphere

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A new super-short-scan algorithm for fan-beam and cone-beam reconstruction

A new super-short-scan algorithm for fan-beam and cone-beam ...

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conference on image reconstruction from incomplete data III

作者： Li, LA Chen, ZQ Kang, KJ Zhao, ZR Tsing Hua Univ Dept Engn Phys Beijing 100084 Peoples R China

ISBN: (纸本)0819455008

In this paper we discuss image reconstruction algorithms in super-short-scan fan-beam and cone-beam computed tomography (CT). We propose a new fan-beam filtered back-projection algorithm which can obtain exact region of interest (ROI) reconstruction if and only if every projecting line passing through the ROI intersects the source trajectory, even if the scanning range is smaller than the half-scan. And we prove the algorithm is approximate when the projections are truncated. Furthermore, we expand the algorithm to cone-beam reconstruction. Then we simulate the algorithm on the computer and evaluate the noise properties of the new algorithm and the other algorithms. Numerical results in our work suggest that the new algorithm is generally less susceptible to data noise and less artifacts than the before algorithms. In particular, the new algorithm is easily and successfully expanded to cone-beam tomography when the source trajectory is a short-arc on the single circle or on the helical trajectory.

关键词： tomography image reconstruction super-short-scan cone-beam FDK

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Determination of myosin filament positions and orientations in electron micrographs of muscle cross-sections

Determination of myosin filament positions and orientations ...

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conference on image reconstruction from incomplete data III

作者： Bödvarsson, B Klim, S Mortensen, S Morkebjerg, M Chen, J Maclaren, JR Yoon, CH Luther, PK Squire, JM Bainbridge-Smith, A Bones, PJ Millane, RP Univ Canterbury Dept Elect & Comp Engn Christchurch 1 New Zealand

ISBN: (纸本)0819455008

An automated image analysis system for determination of myosin filament orientations in electron micrographs of muscle cross-sections is described. Analysis of the distribution of the orientations is important in studies of muscle structure, particularly for interpretation of x-ray diffraction data. Filament positions are determined using h-dome extraction and image filtering, based on grayscale reconstruction. Erroneous locations are eliminated based on lattice regularity. Filament orientations are determined by correlation with a template that incorporates the salient filament characteristics and classified using a Gaussian mixture model. Application to a number of micrographs and comparison with manual classifications of orientations shows that the system is effective in many cases.

关键词： image analysis morphology electron micrograph lattice disorder myosin muscle

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Parallel multiframe blind deconvolution using wavelength diversity

Parallel multiframe blind deconvolution using wavelength div...

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conference on image reconstruction from incomplete data III

作者： Ingleby, HR McGaughey, DR Royal Mil Coll Canada Dept Elect & Comp Engn Kingston ON K7K 7B4 Canada

ISBN: (纸本)0819455008

The resolution of images captured through ground-based telescopes is generally limited by blurring effects due to atmospheric turbulence. We have developed a method to estimate both the original objects and the blurring function from a sequence of noisy blurred images, simultaneously collected at different wavelengths (wavelength diversity). The assumption of common path-length errors across the diversity channels allows for a parallel deconvolution procedure that exploits this coupling. In contrast with previous work, no a priori assumptions about the object's intensity distribution are required. The method is described, and preliminary results with real images collected with a bench-scale imaging system are presented, demonstrating the promise of the algorithm.

关键词： deconvolution wavelength diversity image restoration/reconstruction

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Fundamental limits to noise reduction in images using support - benefits from deconvolution

Fundamental limits to noise reduction in images using suppor...

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conference on image reconstruction from incomplete data III

作者： Matson, CL Beckner, CC Schulze, KJ USAF Res Lab Kirtland AFB NM 87117 USA

ISBN: (纸本)0819455008

The usefulness of support constraints to achieve noise reduction in images is analyzed here using an algorithm-independent Cramer-Rao bound approach. Recently, it has been shown that the amount of noise reduction achievable using support as a constraint is a function of the image-domain noise correlation properties. For image-domain delta-correlated noise sources (such as Poisson and CCD read noise), applying a support constraint does not reduce noise in the absence of deconvolution due to the lack of spatial correlation. However, when deconvolution is included in the image processing algorithm, the situation changes significantly because the deconvolution operation imposes correlations in the measurement noise. Here we present results for an invertible system blurring function showing how noise reduction occurs with support and deconvolution. In particular, we show that and explain why noise reduction preferentially occurs at the edges of the support constraint.

关键词： support deconvolution Cramer-Rao bounds image reconstruction noise reduction

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Dynamic demosaicing and color super-resolution of video sequences

Dynamic demosaicing and color super-resolution of video sequ...

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conference on image reconstruction from incomplete data III

作者： Farsiu, S Robinson, D Elad, M Milanfar, P Univ Calif Santa Cruz Dept Elect Engn Santa Cruz CA 95064 USA

ISBN: (纸本)0819455008

In the last two decades a variety of super-resolution (SR) methods have been proposed. These methods usually address the problem of fusing a set of monochromatic images to produce a single monochromatic image with higher spatial resolution. In this paper we address the dynamic and color SR problems of reconstructing a high-quality set of colored super-resolved images from low-quality mosaiced frames. Our approach includes a hybrid method for simultaneous SR and demosaicing, this way taking into account practical color measurements encountered in video sequences. For the case of translational motion and common space-invariant blur, the proposed method is based on a very fast and memory efficient approximation of the Kalman filter. Experimental results on both simulated and real data are supplied, demonstrating the presented algorithm, and its strength.

关键词： Lawrencium Optical filters image fusion Motion models Matrices image filtering Cameras Filtering (signal processing) image processing Video

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Unified imaging theory for X-ray and acoustic computerized tomography

Unified imaging theory for X-ray and acoustic computerized t...

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conference on image reconstruction from incomplete data III

作者： Liu, PY Wang, G Boyer, A Stanford Univ Dept Radiat Oncol Stanford CA 94305 USA

ISBN: (纸本)0819455008

X-ray computerized tomography (CT) and acoustic CT are two main medical imaging modalities based on two intrinsically different physical phenomena. X-ray CT is based on xray's attenuation when x-ray passes through medium. It has been well known that the Radon transform is the imaging theory for x-ray CT. Photoacoustic CT is a type of acoustic CT, which is based on differentiating electromagnetic energy absorption among media. In 1998 a new 3D reconstruction concept, the P-transform, was proposed to serve the imaging theory for photoacoustic CT. In this paper it was rigorously proved that both x-ray CT and photoacoustic CT are governed by a unified imaging theory. 3D data acquisition can be completed in 2pi stereoangle. This new imaging theory realized, in part, the dream of all physicists, including Albert Einstein, who have long believed that our world is ultimately governed by few simple rules.

关键词： image reconstruction P-transform Radon transform

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Regularized two-step brain activity reconstruction from spatiotemporal EEG data

Regularized two-step brain activity reconstruction from spat...

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conference on image reconstruction from incomplete data III

作者： Alecu, TI Voloshynovskiy, S Pun, T Comp Vision & Multimedia Lab CH-1211 Geneva 4 Switzerland

ISBN: (纸本)0819455008

We are aiming at using EEG source localization in the framework of a Brain Computer Interface project. We propose here a new reconstruction procedure, targeting source (or equivalently mental task) differentiation. EEG data can be thought of as a collection of time continuous streams from sparse locations. The measured electric potential on one electrode is the result of the superposition of synchronized synaptic activity from sources in all the brain volume. Consequently, the EEG inverse problem is a highly underdetermined (and ill-posed) problem. Moreover, each source contribution is linear with respect to its amplitude but non-linear with respect to its localization and orientation. In order to overcome these drawbacks we propose a novel two-step inversion procedure. The solution is based on a double scale division of the solution space. The first step uses a coarse discretization and has the sole purpose of globally identifying the active regions, via a sparse approximation algorithm. The second step is applied only on the retained regions and makes use of a fine discretization of the space, aiming at detailing the brain activity. The local configuration of sources is recovered using an iterative stochastic estimator with adaptive joint minimum energy and directional consistency constraints.

关键词： Brain Computer Interface EEG source localization inverse problem regularization stochastical estimators

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Super-resolution in imagery arising from observation through anisoplanatic distortion

Super-resolution in imagery arising from observation through...

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conference on image reconstruction from incomplete data III

作者： Lambert, A Fraser, D Univ New S Wales Sch Informat Technol & Elect Engn Canberra ACT 2600 Australia

ISBN: (纸本)0819455008

The possibility of obtaining spatial frequency information normally excluded by an aperture has been surmised, experimentally obtained in the laboratory, and observed in processed real world imagery. This opportunity arises through the intervention of a turbulent mass between the stationary wide-area object of interest and the short exposure, imaging instrument, but the frequency information is aliased, and must-be de-aliased to render it useful. We present evidence of super-resolution in real-world surveillance imagery that is processed by hierarchical registration algorithms. These algorithms have been enhanced over those we previously reported. We discuss these enhancements and give examples of the use of the algorithm to gain information about the turbulence. To further reinforce the presence of super-resolution we present two methods for creating imagery warped by Kolmogorov turbulent phase screens, so that the results can be confirmed against true images.

关键词： super-resolution digital image restoration astronomical imaging surveillance imaging atmospheric turbulence image registration Wiener filter

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