Comparison of image-based functional monitoring through resampling and compression

© Comparison of image-based functional monitoring through resampling and compression Steven J. Simske, Margaret Sturgill, Jason S. Aronoff HP Laboratories HPL-2009-145 Image forensics, counterfeit detection, classification, accuracy, lossy compression, down-sampling Image-based applications such as remote surveillance, environmental monitoring, and robotic navigation are often bandwidth-limited, and benefit from image down-sampling or compression. Often a decision is made without considering the relative impact on the functional goal of the monitoring of the different down-sampling and/or compression choices. In this paper, we use a specific "remote" monitoring application the distinction between images of authentic products and counterfeit products to assess the impact of down-sampling and compression on the classification accuracy of the counterfeit detection imaging software. External Posting Date: June 21, 2009 [Fulltext] Approved for External Publication Internal Posting Date: June 21, 2009 [Fulltext] To be published in IEEE International Geoscience & Remote Sensing Symposium (Cape Town, South Africa) Copyright IEEE International Geoscience & Remote Sensing Symposium, 2009 COMPARISON OF IMAGE-BASED FUNCTIONAL MONITORING THROUGH RESAMPLING AND COMPRESSION Steven J. Simske, Margaret Sturgill, Jason S. Aronoff Hewlett-Packard Labs, 3404 E. Harmony Rd. MS 36, Fort Collins CO USA 80528