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IEEE Transactions on Image Processing, ISSN 1057-7149, 09/2011, Volume 20, Issue 9, pp. 2678 - 2683
Journal Article
Foundations and Trends in Signal Processing, ISSN 1932-8346, 2017, Volume 10, Issue 4, pp. 347 - 427
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2018, Volume 27, Issue 11, pp. 5553 - 5562
We study deep neural networks for classification of images with quality distortions. Deep network performance on poor quality images can be greatly improved if... 
Training | deep learning | Computational modeling | Neural networks | human eye fixations | Distortion | Robustness | Saliency | convolutional neural networks | Noise measurement | Testing | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Image quality | Weight reduction | Image classification
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 07/2014, Volume 23, Issue 7, pp. 2944 - 2960
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2018, Volume 27, Issue 8, pp. 4080 - 4090
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 04/2009, Volume 18, Issue 4, pp. 717 - 728
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IEEE Transactions on Image Processing, ISSN 1057-7149, 09/2015, Volume 24, Issue 9, pp. 2784 - 2796
Journal Article
Blood, ISSN 0006-4971, 01/2015, Volume 125, Issue 4, pp. 591 - 599
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2019, Volume 28, Issue 12, pp. 6022 - 6034
In recent years, the widespread use of deep neural networks (DNNs) has facilitated great improvements in performance for computer vision tasks like image... 
Computer vision | AWGN | Deep neural networks | image classification | residual learning | Distortion | image deblurring | Task analysis | image denoising | Training | image distortion | Perturbation methods | Robustness | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
2016 IEEE International Conference on Image Processing (ICIP), ISSN 1522-4880, 09/2016, Volume 2016-, pp. 2956 - 2960
A robust radial distortion correction method that requires only a single image of the distorted imaged pattern is presented. The method is robust to the... 
alternate optimization | Computational modeling | Nonlinear distortion | Radial distortion | single image | Cost function | Feature extraction | Robustness | center of distortion | Alternate optimization | Single image | Center of distortion
Conference Proceeding
IEEE Transactions on Broadcasting, ISSN 0018-9316, 06/2013, Volume 59, Issue 2, pp. 382 - 389
Journal Article
Journal Article