Effect of image bit depth on target acquisition modeling

Brian P. Teaney; Joseph P. Reynolds

doi:10.1117/12.779191

15 April 2008 Effect of image bit depth on target acquisition modeling

Brian P. Teaney, Joseph P. Reynolds

Proceedings Volume 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX; 69410F (2008) https://doi.org/10.1117/12.779191
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The impact of bit depth on human in the loop recognition and identification performance is of particular importance when considering trade-offs between resolution and band-width of sensor systems. This paper presents the results from two perception studies designed to measure the effects of quantization and finite bit depth on target acquisition performance. The results in this paper allow for the inclusion of limited bit depth and quantization as an additional noise term in NVESD sensor performance models.

Citation Download Citation

Brian P. Teaney and Joseph P. Reynolds "Effect of image bit depth on target acquisition modeling", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410F (15 April 2008); https://doi.org/10.1117/12.779191

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