Resistor array infrared projector nonuniformity correction: search for performance improvement IV

We assess the issues that need to be addressed to ensure that a resistor array infrared projector is capable of validly simulating the real world. These include control of the additional sources of blurring and aliasing arising from the presence of the projector and its associated scene generation system, nonuniformity correction, busbar robbing, spurious back reflections and narcissus. In particular, we reconfirm that a 2 × 2 projector/unit-under-test pixel mapping ratio offers a good compromise for controlling the additional blurring and aliasing, and furthermore, we demonstrate achievement of projector nonuniformity noise equivalent temperature differences (NETDs) in the 20 mK range.

[1]  Otto H. Schade Image Reproduction by a Line Raster Process , 1973 .

[2]  K. G. Birch Image Quality, a Comparison of Photographic and Television Systems , 1976 .

[3]  Dennis L. Garbo,et al.  Real-time three-dimensional infrared scene generation utilizing commercially available hardware , 1996, Defense, Security, and Sensing.

[4]  Dennis L. Garbo,et al.  Rendering energy-conservative scenes in real time , 1997, Defense, Security, and Sensing.

[5]  Jason S. Coker,et al.  Demonstration of innovative techniques used for real-time closed-loop infrared scene generation , 1998, Defense, Security, and Sensing.

[6]  Owen M. Williams Dynamic infrared scene projection: the scene filtering and sampling problem revisited , 1998, Defense, Security, and Sensing.

[7]  Barry E. Cole,et al.  Honeywell resistor array development and future directions , 1999, Defense, Security, and Sensing.

[8]  Owen M. Williams Search for optimal infrared projector nonuniformity correction procedures , 1999, Defense, Security, and Sensing.

[9]  Eric M. Olson,et al.  Nonuniformity correction using a flood technique and 1:1 mapping , 2001, SPIE Defense + Commercial Sensing.

[10]  Owen M. Williams,et al.  Advanced flood nonuniformity correction for emitter array infrared projectors , 2002, SPIE Defense + Commercial Sensing.

[11]  George C. Goldsmith,et al.  Infrared projector scene data real-time processor design , 2003, SPIE Defense + Commercial Sensing.

[12]  Owen M. Williams,et al.  Infrared projector flood nonuniformity correction characteristics , 2003, SPIE Defense + Commercial Sensing.

[13]  George C. Goldsmith,et al.  Array nonuniformity correction: new procedures designed for difficult measurement conditions , 2003, SPIE Defense + Commercial Sensing.

[14]  Owen M. Williams,et al.  Emissive infrared projector temperature resolution limiting factors , 2004, SPIE Defense + Commercial Sensing.

[15]  Owen M. Williams,et al.  Emissive infrared projector sparse grid nonuniformity correction , 2005, SPIE Defense + Commercial Sensing.

[16]  Owen M. Williams,et al.  Real-time zoom anti-aliasing improvement using programmable graphics processing units , 2006, SPIE Defense + Commercial Sensing.

[17]  George C. Goldsmith,et al.  Resistor array infrared projector temperature resolution: revisited , 2006, SPIE Defense + Commercial Sensing.

[18]  Owen M. Williams,et al.  Resistor array infrared projector nonuniformity correction: search for performance improvement , 2006, SPIE Defense + Commercial Sensing.

[19]  Owen M. Williams,et al.  Graphics processing unit (GPU) real-time infrared scene generation , 2007, SPIE Defense + Commercial Sensing.

[20]  Owen M. Williams,et al.  Resistor array infrared projector nonuniformity correction: search for performance improvement II , 2007, SPIE Defense + Commercial Sensing.

[21]  Owen M. Williams,et al.  Resistor array infrared projector nonuniformity correction: search for performance improvement III , 2008, SPIE Defense + Commercial Sensing.