19 May 2016 Compressed imagery detection rate through map seeking circuit (MSC) pattern recognition
Author Affiliations +
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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

Back to Top