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

共 465 条记录，以下是71-80 订阅

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Characterizing heterogeneity among virus particles by stochastic 3-D signal reconstruction 8

Characterizing heterogeneity among virus particles by stocha...

引用

conference on image reconstruction from incomplete data viII

作者： Xu, Nan Gong, Yunye Wang, Qiu Zheng, Yili Doerschuk, Peter C. Cornell Univ Elect & Comp Engn Ithaca NY 14850 USA Univ Calif Berkeley Lawrence Berkeley Natl Lab Berkeley CA 94720 USA Cornell Univ Meinig Sch Biomed Engn Ithaca NY USA

ISBN: (纸本)9781628417661

In single-particle cryo electron microscopy, many electron microscope images each of a single instance of a biological particle such as a virus or a ribosome are measured and the 3-D electron scattering intensity of the particle is reconstructed by computation. Because each instance of the particle is imaged separately, it should be possible to characterize the heterogeneity of the different instances of the particle as well as a nominal reconstruction of the particle. In this paper, such an algorithm is described and demonstrated on the bacteriophage Hong Kong 97. The algorithm is a statistical maximum likelihood estimator computed by an expectation maximization algorithm implemented in Mat lab software.

关键词： 3-D image reconstruction statistical image processing maximum likelihood estimation expectation maximization algorithm structural biology virus Hong Kong 97

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Turbulence Profiling for Long Range Surveillance Imaging

Turbulence Profiling for Long Range Surveillance Imaging

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conference on image reconstruction from incomplete data V

作者： Lambert, Andrew Fraser, Donald Bowman, David Brandon, Shane Davies, John Australian Def Force Acad Univ New S Wales Sch Informat Technol & Elect Engn Canberra ACT 2600 Australia

ISBN: (纸本)9780819472960

We report a test of the turbulence found in real-world, horizontal imaging under high magnification. The experiment creates a double "star" on a test chart for use both with a SLODAR turbulence profiling instrument, and simultaneously imaged using a very fast camera to determine traditional seeing parameters. Effects on a similarly located image are investigated to determine the observed effects on the imagery as a function of turbulence location.

关键词： image restoration turbulence profiling surveillance imaging SLODAR

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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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Iterative projection algorithms for reconstructing compact binary images

Iterative projection algorithms for reconstructing compact b...

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conference on image reconstruction from incomplete data V

作者： Lo, V. L. Millane, R. P. Univ Canterbury Dept Elect & Comp Engn Computat Imaging Grp Christchurch 1 New Zealand

ISBN: (纸本)9780819472960

An algorithm is described for reconstructing compact binary images from limited Fourier amplitude data. This problem arises in macromolecular crystallography where one wishes to reconstruct the molecular envelope from crystal x-ray diffraction amplitudes using a solvent contrast series. Such data are the amplitude of the Fourier transform of all object that has a constant electron density within the boundary of the molecule and zero outside. The image is thus binary and compact, but, the data are available only within a limited resolution range in Fourier space and are undersampled. The problem is solved Using all iterative projection algorithm;a class of algorithm used to solve inverse problems for which the solution is subject to a, number of constraints that, represent a priori information and the data. Unfortunately, these algorithms experience convergence difficulties if one or more of the constraints are non-convex, which is the case for all the constraint's in this problem. We solve the problem by constructing appropriate projection operators and implementing the difference map projection algorithm. Simulations axe used to study convergence behaviour of the algorithm.

关键词： Phase retrieval image reconstruction Iterative Projection Algorithms X-ray crystallography

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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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Blind deconvolution of speckle images constrained by wavefront sensing data

Blind deconvolution of speckle images constrained by wavefro...

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2nd conference on image reconstruction from incomplete data

作者： Leung, WYV Clare, RM Lane, RG Univ Canterbury Dept Elect & Comp Engn Christchurch New Zealand

ISBN: (纸本)0819445592

The predominant effect of the atmosphere on the incoming wavefront of an astronomical object is the introduction of a phase distortion, resulting in,a speckle image at the ground-based telescope. Deconvolution from wavefront sensing is an imaging technique used to compensate for the degradation due to atmospheric turbulence, where the point spread function is estimated from the wavefront sensing data. However in this approach any information in the speckle images regarding the point spread function is not utilised. This paper investigates the joint application of wavefront sensing data and speckle images in reconstructing the point spread function and the object in a Bayesian framework. The results on experimental data demonstrate the feasibility of this approach even under very low light levels.

关键词： blind deconvolution wavefront sensing Shack-Hartmann sensor

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MR image reconstruction from data Acquired on an Irregular K-space trajectory 36

MR Image Reconstruction from Data Acquired on an Irregular <...

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36th IEEE International conference on Electronics and Nanotechnology (ELNANO)

作者： Gavrilyuk, V. S. Netreba, A., V Radchenko, S. P. Taras Shevchenko Natl Univ Kyiv Fac Radiophys Elect & Comp Syst Kiev Ukraine

ISBN: (纸本)9781509014316

The reconstruction for the magnetic resonance imaging under condition of using irregular measured signal data array for reconstructing of the spine density spatial distribution are offered. For experimentally measured data using a Fourier-Zymography in Magnetic Resonance Imaging techniques simulated the received signal and realised the reverse reconstruction of tomograms. The evaluation of the quality of tomograms with incomplete signal data set has been carried out.

关键词： Magnetic resonance imaging reconstruction K-space incomplete data

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Three-dimensional surface approximation from incomplete data using distance transform

Three-dimensional surface approximation from incomplete data...

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2nd conference on image reconstruction from incomplete data

作者： Lee, DJ Westover, B Eifert, J Brigham Young Univ Dept Elect & Comp Engn Provo UT 84602 USA

ISBN: (纸本)0819445592

Three-dimensional (3-D) object surface reconstruction is an important step toward non-destructive measurements of surface area and volume. Laser triangulation technique has been widely used for obtaining 3-D information. However, the 3-D data obtained from triangulation are not dense enough or usually not complete for surface reconstruction, especially for objects with irregular shape. As a result of fitting surfaces with these sparse 3-D data, inaccuracy in measuring the surface area or calculating the volume of the object is inevitable. A computer vision technique combining laser triangulation and distance transform has been developed to improve the measurement accuracy for objects with irregular shape. A 3-D wire-frame model is generated first with all available 3-D data. Each pixel within the image boundary is given the distance information using distance transform. The distance information of each pixel is then used as the constraints for surface fitting and interpolation. With this additional information from distance transform, more accurate surface approximation can be achieved. The measurement accuracy of this technique is compared with other interpolation techniques for the volume measurement of oyster meats.

关键词： distance transform laser triangulation 3-D wire-frame model machine vision surface fitting surface interpolation oyster

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Single image Spatially Variant Out-of-focus Blur Removal

Single Image Spatially Variant Out-of-focus Blur Removal

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conference on image reconstruction from incomplete data viI

作者： Chan, Stanley H. Nguyen, Truong Q. Harvard Univ SEAS 33 Oxford St Cambridge MA 02138 USA UCSD Dept ECE La Jolla CA 92093 USA

ISBN: (纸本)9780819492173

This paper addresses the problem of two-layer out-of-focus blur removal from a single image, in which either the foreground or the background is in focus while the other is out of focus. To recover details from the blurry parts, the existing blind deconvolution algorithms are insufficient as the problem is spatially variant. The proposed method exploits the invariant structure of the problem by first predicting the occluded background. Then a blind deconvolution algorithm is applied to estimate the blur kernel and a coarse estimate of the image is found as a side product. Finally, the blurred region is recovered using total variation minimization, and fused with the sharp region to produce the final deblurred image.

关键词： Blind deconvolution spatially variant total variation alpha-matting kernel estimation depth

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Processing synthetic aperture sonar data from novel hydrophone arrays

Processing synthetic aperture sonar data from novel hydropho...

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conference on image reconstruction from incomplete data

作者： Millane, RP Gough, PT Univ Canterbury Dept Elect & Elect Engn Christchurch 1 New Zealand

ISBN: (纸本)0819437689

In synthetic aperture sonar, the highest platform speed is limited as a result of the low speed of sound in water and the requirement for adequate sampling in the along-track direction. This can result in slow seafloor mapping, The highest allowable platform speed can be increased by using a linear array of hydrophones. The signal-to-noise can also be improved by using multiple sets of hydrophone arrays. Maximum-likelihood estimation of images using data from sets of hydrophone arrays that each undersample the underlying signal to different degrees is described, Simulations for synthetic aperture sonar imaging show that this improves the images obtained over those from a single array.

关键词： synthetic aperture sonar aliasing maximum-likelihood

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