| Improved noise model for the US Army sensor performance metric BL Preece, JT Olson, JP Reynolds, JD Fanning Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII 8014 …, 2011 | 27 | 2011 |
| A data-constrained algorithm for the emulation of long-range turbulence-degraded video KJ Miller, B Preece, TW Du Bosq, KR Leonard Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX 11001 …, 2019 | 23 | 2019 |
| Human vision noise model validation for the US Army sensor performance metric BL Preece, JT Olson, JP Reynolds, JD Fanning, DP Haefner Optical Engineering 53 (6), 061712-061712, 2014 | 16 | 2014 |
| Modeling boost performance using a two dimensional implementation of the targeting task performance metric BL Preece, DP Haefner, JD Fanning Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII 8355 …, 2012 | 13 | 2012 |
| A noise model for the design of a compressive sensing imaging system B Preece, T Du Bosq, N Namazi, G Nehmetallah, KF Kelly Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI 9452 …, 2015 | 8 | 2015 |
| Predicted NETD performance of a polarized infrared imaging sensor B Preece, VA Hodgkin, R Thompson, K Leonard, K Krapels Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV 9071 …, 2014 | 7 | 2014 |
| Improved target signature definition for modeling performance of high-gain saturated imagery T Du Bosq, B Preece Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI 7662 …, 2010 | 6 | 2010 |
| Modeling of video compression effects on target acquisition performance JH Cha, B Preece, RL Espinola Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX 7300, 78-93, 2009 | 6 | 2009 |
| Performance assessment of a single-pixel compressive sensing imaging system TW Du Bosq, BL Preece Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII 9820 …, 2016 | 5 | 2016 |
| An imaging system detectivity metric using energy and power spectral densities BL Preece, D Haefner, G Nehmetallah Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII 9820 …, 2016 | 5 | 2016 |
| On the optimal measurement of conversion gain in the presence of dark noise A Hendrickson, DP Haefner, BL Preece JOSA A 39 (12), 2169-2185, 2022 | 4 | 2022 |
| Performance assessment of a compressive sensing single-pixel imaging system TW Du Bosq, BL Preece Optical Engineering 56 (4), 041313-041313, 2017 | 4 | 2017 |
| Performance assessment of compressive sensing imaging TW Du Bosq, DP Haefner, BL Preece Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV 9071 …, 2014 | 4 | 2014 |
| Performance assessment of treating aliased signal as target-dependent noise BL Preece, DP Haefner Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII 8014 …, 2011 | 4 | 2011 |
| 3D noise photon transfer curve BL Preece, DP Haefner Applied Optics 61 (21), 6202-6212, 2022 | 3 | 2022 |
| Frequency modulated continuous wave lidar performance model for target detection TW Du Bosq, BL Preece Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII …, 2017 | 3 | 2017 |
| Modeling demosaicing of color corrected cameras in the NV-IPM DP Haefner, BP Teaney, BL Preece Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII 9820 …, 2016 | 3 | 2016 |
| Using GStreamer to perform real-time MRTD measurements on thermal imaging systems SD Burks, JM Doe, J Fanning, B Preece Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII 8355 …, 2012 | 3 | 2012 |
| Effects of video compression on target acquisition performance RL Espinola, J Cha, B Preece Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX 6941 …, 2008 | 3 | 2008 |
| On use of image quality metrics for perceptual blur modeling: image/video compression case JH Cha, JT Olson, BL Preece, RL Espinola, AL Abbott Optical Engineering 57 (2), 023109-023109, 2018 | 2 | 2018 |
George NehmetallahThe Catholic University of AmericaVerified email at cua.edu
