Object detection in a noisy scene

Albert J. Ahumada Jr.; Bettina L. Beard

doi:10.1117/12.238715

22 April 1996 Object detection in a noisy scene

Albert J. Ahumada Jr., Bettina L. Beard

Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238715
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Observers viewed a simulated airport runway landing scene with an obstructing aircraft on the runway and rated the visibility of the obstructing object in varying levels of white fixed-pattern noise. The effect of the noise was compared with the predictions of single and multiple channel discrimination models. Without a contrast masking correction, both models predict almost no effect of the fixed-pattern noise. A global contrast masking correction improves both models' predictions, but the predictions are best when the masking correction is based only on the noise contrast (does not include the background image contrast).

Citation Download Citation

Albert J. Ahumada Jr. and Bettina L. Beard "Object detection in a noisy scene", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238715

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