Group-based sparse representation for image restoration.
about
Recent Development of Dual-Dictionary Learning Approach in Medical Image Analysis and ReconstructionJoint Prior Learning for Visual Sensor Network Noisy Image Super-ResolutionDictionary learning based noisy image super-resolution via distance penalty weight model.Simultaneous fusion, imaging and encryption of multiple objects using a single-pixel detector.Adaptive Compressive Sensing of Images Using Spatial Entropy.Object-Oriented Hierarchy Radiation Consistency for Different Temporal and Different Sensor Images.Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification.Adaptive Image Compressive Sensing Using Texture ContrastBlock Compressed Sensing of Images Using Adaptive Granular ReconstructionA Weighted Block Dictionary Learning Algorithm for ClassificationDetecting Saliency in Infrared Images via Multiscale Local Sparse Representation and Local Contrast Measure
P2860
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P2860
Group-based sparse representation for image restoration.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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name
Group-based sparse representation for image restoration.
@en
Group-based sparse representation for image restoration.
@nl
type
label
Group-based sparse representation for image restoration.
@en
Group-based sparse representation for image restoration.
@nl
prefLabel
Group-based sparse representation for image restoration.
@en
Group-based sparse representation for image restoration.
@nl
P2093
P356
P1476
Group-based sparse representation for image restoration.
@en
P2093
P304
P356
10.1109/TIP.2014.2323127
P577
2014-05-12T00:00:00Z