19 May 2016 Compressed imagery detection rate through map seeking circuit (MSC) pattern recognition
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Abstract
This research investigates the features retained after image compression for automatic pattern recognition purposes. Images were significantly compressed using open-source JPEG and JPEG2000 compression algorithms. The original and compressed images were processed with a Map Seeking Circuit (MSC) pattern recognition algorithm. [1] The resulting target detection rates for the compressed images were very similar to the original images, which included compression rates ranging from 10 to 0.2. Target detection location precision and target aspect were degraded for the lowest compression rates.
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Kathy A. Newtson, Kathy A. Newtson, Charles C. Creusere, Charles C. Creusere, } "Compressed imagery detection rate through map seeking circuit (MSC) pattern recognition", Proc. SPIE 9874, Remotely Sensed Data Compression, Communications, and Processing XII, 98740E (19 May 2016); doi: 10.1117/12.2224120; https://doi.org/10.1117/12.2224120
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