15 April 2008 Effect of image bit depth on target acquisition modeling
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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.
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Brian P. Teaney, Brian P. Teaney, Joseph P. Reynolds, 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); doi: 10.1117/12.779191; https://doi.org/10.1117/12.779191

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