Research Topics
| Russell HardieSummaryAffiliation: University of Dayton Country: USA Publications
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Detail Information
Publications
Fast super-resolution using an adaptive Wiener filter with robustness to local motionRussell C Hardie
Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, Ohio 45469 0232, USA
Opt Express 20:21053-73. 2012..We demonstrate the efficacy of the new robust SR methods using several datasets, including airborne infrared data with moving vehicles and a ground resolution pattern for objective resolution analysis...
Fast super-resolution with affine motion using an adaptive Wiener filter and its application to airborne imagingRussell C Hardie
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio 45469 0232, USA
Opt Express 19:26208-31. 2011..We evaluate the proposed algorithm using simulated data and real infrared airborne imagery that contains a thermal resolution target allowing for objective resolution analysis...
Super-resolution for imagery from integrated microgrid polarimetersRussell C Hardie
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio 45459 0232, USA
Opt Express 19:12937-60. 2011..We demonstrate that the new multi-channel SR algorithms are capable of providing significant enhancement of polarimetric imagery and that they outperform their independent channel counterparts...
Scene-based nonuniformity correction with reduced ghosting using a gated LMS algorithmRussell C Hardie
Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45459 0232, USA
Opt Express 17:14918-33. 2009..The experimental results include simulated imagery and a real infrared image sequence. We show that the proposed method significantly reduces ghosting artifacts, but has a slightly longer convergence time...
Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographsRussell C Hardie
Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469 0232, United States
Med Image Anal 12:240-58. 2008..1% of the nodules in the JRST test set with and average of 4.0 false positives per image (excluding 14 cases containing lung nodules in retrocardiac and subdiaphragmatic regions of the lung)...
A fast image super-resolution algorithm using an adaptive Wiener filterRussell Hardie
Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH 45469 0232, USA
IEEE Trans Image Process 16:2953-64. 2007..The efficacy of the proposed algorithm is demonstrated here in a number of experimental results using simulated and real video sequences. A computational analysis is also presented...
MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensorRussell C Hardie
Department of Electrical and Computer Engineering and Electro Optics Program, University of Dayton, Dayton, OH 45459 0226, USA
IEEE Trans Image Process 13:1174-84. 2004..Experimental results with hyperspectral data derived from the airborne visible-infrared imaging spectrometer are presented to demonstrate the efficacy of the proposed estimator...
A new computationally efficient CAD system for pulmonary nodule detection in CT imageryTemesguen Messay
Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469 0232, United States
Med Image Anal 14:390-406. 2010..4% of the nodules (115/143) using 40 selected features. A 7-fold cross-validation performance analysis using the LIDC database only shows CAD sensitivity of 82.66% with an average of 3 FPs per CT scan/case...
Improved optimization of soft-partition-weighted-sum filters and their application to image restorationYong Lin
University of Dayton, Ohio 45469 0226, USA
Appl Opt 45:2697-706. 2006..We apply the filters to the problem of noise reduction. The experimental results show that the Soft-PWS filter outperforms the standard partition-weighted-sum filter and the Wiener filter...
Scene-based nonuniformity correction technique that exploits knowledge of the focal-plane array readout architectureBalaji Narayanan
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio 45469 0226, USA
Appl Opt 44:3482-91. 2005..One advantage of the proposed algorithm is that it requires only a few frames to obtain high-quality corrections...
