Results 141 to 150 of about 2,318 (187)
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Journal of Clinical Neurophysiology, 1999
In most instances, traditional EEG methodology provides insufficient spatial detail to identify relationships between brain electrical events and structures and functions visualized by magnetic resonance imaging or positron emission tomography. This article describes a method called Deblurring for increasing the spatial detail of the EEG and for fusing
A, Gevins +4 more
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In most instances, traditional EEG methodology provides insufficient spatial detail to identify relationships between brain electrical events and structures and functions visualized by magnetic resonance imaging or positron emission tomography. This article describes a method called Deblurring for increasing the spatial detail of the EEG and for fusing
A, Gevins +4 more
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Computer Graphics Forum, 2009
AbstractRestoration of the photographs damaged by the camera shake is a challenging task that manifested increasing attention in the recent period. Despite of the important progress of the blind deconvolution techniques, due to the ill‐posed nature of the problem, the finest details of the kernel blur cannot be recovered entirely.
Cosmin Ancuti +2 more
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AbstractRestoration of the photographs damaged by the camera shake is a challenging task that manifested increasing attention in the recent period. Despite of the important progress of the blind deconvolution techniques, due to the ill‐posed nature of the problem, the finest details of the kernel blur cannot be recovered entirely.
Cosmin Ancuti +2 more
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Deblurring of bilevel waveforms
IEEE Transactions on Image Processing, 1993An algorithm for processing closely spaced edges and accurately restoring their locations is presented. The convolution distortion model is based on interacting edges. The restoration algorithm takes three edges as input and forces the effects of two of them to cancel each other.
Eugene Joseph, Theodosios Pavlidis
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2007 IEEE International Conference on Image Processing, 2007
Radial blurring (sometimes called zoom blurring) of an image is a challenging problem because it is a shift-variant blur. As one travels outward from the center of an image, the blur length increases linearly with distance from the center. This shift-variant characteristic precludes the use of other traditional FFT-based deblurring techniques.
Chistopher B. Webster, Stanley J. Reeves
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Radial blurring (sometimes called zoom blurring) of an image is a challenging problem because it is a shift-variant blur. As one travels outward from the center of an image, the blur length increases linearly with distance from the center. This shift-variant characteristic precludes the use of other traditional FFT-based deblurring techniques.
Chistopher B. Webster, Stanley J. Reeves
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IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
We introduce a modified Backus-Gilbert technique for restoring an image that has been distorted by a linear system whose impulse response function is itself random, and in the presence of detection noise. The restoration is based on a weighted superposition of a small number of shifted versions of the distorted image.
Rabab Kreidieh Ward, Bahaa E. A. Saleh
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We introduce a modified Backus-Gilbert technique for restoring an image that has been distorted by a linear system whose impulse response function is itself random, and in the presence of detection noise. The restoration is based on a weighted superposition of a small number of shifted versions of the distorted image.
Rabab Kreidieh Ward, Bahaa E. A. Saleh
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2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
Motion blur due to camera shake is an annoying yet common problem in low-light photography. In this paper, we propose a novel method to recover a sharp image from a pair of motion blurred and flash images, consecutively captured using a hand-held camera. We first introduce a robust flash gradient constraint by exploiting the correlation between a sharp
Shaojie Zhuo, Dong Guo 0001, Terence Sim
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Motion blur due to camera shake is an annoying yet common problem in low-light photography. In this paper, we propose a novel method to recover a sharp image from a pair of motion blurred and flash images, consecutively captured using a hand-held camera. We first introduce a robust flash gradient constraint by exploiting the correlation between a sharp
Shaojie Zhuo, Dong Guo 0001, Terence Sim
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Applied Mathematics and Computation, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dmitry K. Firsov, Shiu Hong Lui
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dmitry K. Firsov, Shiu Hong Lui
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2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2014
As technology advances; blur in an image remains as an ever-present issue in the image processing field. A blurred image is mathematically expressed as a convolution of a blur function with a sharp image, plus noise. Removing blur from an image has been widely researched and is still important as new images are collected.
Michael J. McLaughlin +6 more
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As technology advances; blur in an image remains as an ever-present issue in the image processing field. A blurred image is mathematically expressed as a convolution of a blur function with a sharp image, plus noise. Removing blur from an image has been widely researched and is still important as new images are collected.
Michael J. McLaughlin +6 more
openaire +2 more sources