Superresolution reconstruction and its impact on sensor performance

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5784, Issue , 2005, Pages 107-113

  Cha, Jae H ^a   Jacobs, Eddie ^a  

^a US Army Research Development and Engineering Command   (United States)

Author keywords

Sensor performance; Superresolution

Indexed keywords

ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); IMAGING SYSTEMS; MATHEMATICAL MODELS; MILITARY VEHICLES; OPTICAL IMAGE STORAGE; OPTICAL SENSORS; PARAMETER ESTIMATION; TARGET DRONES;

SENSOR PERFORMANCES; SUPER-RESOLUTIONS; TARGET IDENTIFICATION; THERMAL SENSORS;

OPTICAL RESOLVING POWER;

EID: 26844579263     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.604868     Document Type: Conference Paper

References (4)

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2. Richard H. Vollmerhausen, Eddie L. Jacobs, Ronald G. Driggers, "New metric for predicting target acquisition performance," Optical Engineering, v.43(11), p.2806-2818, Nov 2004.
3. Michael Elad, Arie Feuer, "Restoration of a Single Superresolution Image from Several Blurred, Noisy, and Undersampled Measured Images", IEEE Transactions on Image Processing, v.6(12), p.1646-1658, Dec 1997.
4. Nhat Nguyen, Peyman Milanfar, Gene Golub, "A Computationally Efficient Superresolution Image Reconstruction Algorithm", IEEE Transactions on Image Processing, v.10(4), p.573-583, Apr 2001.