Results 151 to 160 of about 15,547 (189)
EHNet: Efficient Hybrid Network with Dual Attention for Image Deblurring. [PDF]
Ho QT, Duong MT, Lee S, Hong MC.
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MIMO-Uformer: A Transformer-Based Image Deblurring Network for Vehicle Surveillance Scenarios. [PDF]
Zhang J +6 more
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Deep-blur: Blind identification and deblurring with convolutional neural networks. [PDF]
Debarnot V, Weiss P.
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Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems. [PDF]
Alçalar YU, Akçakaya M.
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Blind Deblurring Method for CASEarth Multispectral Images Based on Inter-Band Gradient Similarity Prior. [PDF]
Zhu M, Liu J, Wang F.
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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
openaire +2 more sources
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.
E, Joseph, T, Pavlidis
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