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IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2011, Volume 20, Issue 12, pp. 3419 - 3430
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2017, Volume 26, Issue 6, pp. 2944 - 2956
Journal Article
Engineering Applications of Artificial Intelligence, ISSN 0952-1976, 10/2019, Volume 85, pp. 830 - 844
We develop a novel divide-and-conquer framework for image restoration and enhancement based on their task-driven requirements, which takes advantage of visual... 
Subspace integration | Divide-and-conquer framework | Subspace prior | Image restoration and enhancement | Information science | Algorithms | Image processing | Analysis
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2015, Volume 24, Issue 12, pp. 4965 - 4977
Journal Article
IEEE Transactions on Intelligent Transportation Systems, ISSN 1524-9050, 08/2015, Volume 16, Issue 4, pp. 1951 - 1960
Since a vehicle logo is the clearest indicator of a vehicle manufacturer, most vehicle manufacturer recognition (VMR) methods are based on vehicle logo... 
Training | Image segmentation | deep learning | Image recognition | vehicle logo recognition (VLR) | Licenses | Feature extraction | Convolutional neural networks (CNNs) | Kernel | Vehicles | pretraining | ENGINEERING, CIVIL | TRANSPORTATION SCIENCE & TECHNOLOGY | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, 11/2015, Volume 12, Issue 11, pp. 2301 - 2305
Journal Article
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 1715 - 1723
We propose a new deep network architecture for removing rain streaks from individual images based on the deep convolutional neural network (CNN). Inspired by... 
Training | Network architecture | Histograms | Rain | Image coding | Neural networks
Conference Proceeding
IEEE Signal Processing Letters, ISSN 1070-9908, 05/2016, Volume 23, Issue 5, pp. 683 - 687
Journal Article
Journal Article
Signal Processing, ISSN 0165-1684, 03/2019, Volume 156, pp. 177 - 190
In this paper, we develop a novel probabilistic pan-sharpening method with gradient domain guided image filtering (named Pan-GGF). We employ gradient domain... 
l1 prior | Gudied image filtering | Alternating optimization | Pan-sharpening | Gradient domain | prior | FUSION | RESOLUTION | ALGORITHM | HIGHLY CORRELATED IMAGES | l prior | ENGINEERING, ELECTRICAL & ELECTRONIC | MULTIRESOLUTION | VARIATIONAL APPROACH | COLOR ENHANCEMENT | Weather | Information science | Engineering schools | Analysis | Methods
Journal Article
Signal Processing, ISSN 0165-1684, 02/2019, Volume 155, pp. 346 - 357
We develop a novel MRI reconstruction algorithm with an edge-preserving filtering prior. In the proposed algorithm, a gradient domain guided image filtering... 
Gradient domain guided filtering | l1 norm | Alternative optimization | MRI reconstruction | l | norm | l norm | GRADIENT DOMAIN | IMAGE | REGULARIZATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Weather | Information science | CT imaging | Engineering schools | Algorithms | Analysis
Journal Article
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 2782 - 2790
We propose a weighted variational model to estimate both the reflectance and the illumination from an observed image. We show that, though it is widely adopted... 
Adaptation models | Linear programming | Minimization | Computational modeling | Mathematical model | Lighting
Conference Proceeding
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 7/2019, pp. 1 - 14
Existing deep convolutional neural networks (CNNs) have found major success in image deraining, but at the expense of an enormous number of parameters. This... 
Deep convolutional neural network (CNN) | image pyramid | lightweight networks | rain removal | residual learning | Index Medicus
Journal Article
Signal Processing, ISSN 0165-1684, 12/2016, Volume 129, pp. 82 - 96
We propose a straightforward and efficient fusion-based method for enhancing weakly illumination images that uses several mature image processing techniques.... 
Weakly illumination | Multi-scale fusion | Weights | Illumination adjustment | Image enhancement | RETINEX | ENHANCEMENT | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Information science | Algorithms | Image processing | Analysis | Equipment and supplies | Methods | Reflectivity | Adjustment | Images | Illumination | Decomposition | Reflectance | Image contrast
Journal Article
Magnetic Resonance in Medicine, ISSN 0740-3194, 11/2018, Volume 80, Issue 5, pp. 2202 - 2214
An end-to-end deep convolutional neural network (CNN) based on deep residual network (ResNet) was proposed to efficiently reconstruct reliable T.sub.2 mapping... 
deep learning | mapping | image reconstruction | residual network | convolutional neural network | T | Neural networks | Diagnostic imaging | Neuroimaging | Brain | Medical imaging | Computer simulation | Artificial neural networks | Brain mapping | Mapping | Image reconstruction | Detaching | Training | Maps | Simulation | Magnetic resonance imaging | Organic light emitting diodes | In vivo methods and tests
Journal Article