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Proceedings Paper

Modeling of video compression effects on target acquisition performance
Author(s): Jae H. Cha; Bradley Preece; Richard L. Espinola
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Paper Abstract

The effect of video compression on image quality was investigated from the perspective of target acquisition performance modeling. Human perception tests were conducted recently at the U.S. Army RDECOM CERDEC NVESD, measuring identification (ID) performance on simulated military vehicle targets at various ranges. These videos were compressed with different quality and/or quantization levels utilizing motion JPEG, motion JPEG2000, and MPEG-4 encoding. To model the degradation on task performance, the loss in image quality is fit to an equivalent Gaussian MTF scaled by the Structural Similarity Image Metric (SSIM). Residual compression artifacts are treated as 3-D spatio-temporal noise. This 3-D noise is found by taking the difference of the uncompressed frame, with the estimated equivalent blur applied, and the corresponding compressed frame. Results show good agreement between the experimental data and the model prediction. This method has led to a predictive performance model for video compression by correlating various compression levels to particular blur and noise input parameters for NVESD target acquisition performance model suite.

Paper Details

Date Published: 22 April 2009
PDF: 16 pages
Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 730009 (22 April 2009); doi: 10.1117/12.817407
Show Author Affiliations
Jae H. Cha, U.S. Army RDECOM CERDEC NVESD (United States)
Bradley Preece, EOIR Technologies, Inc. (United States)
Richard L. Espinola, U.S. Army RDECOM CERDEC NVESD (United States)


Published in SPIE Proceedings Vol. 7300:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX
Gerald C. Holst, Editor(s)

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