Compression techniques for improved algorithm computational performance

Joseph N. Zalameda; Patricia A. Howell; William P. Winfree

doi:10.1117/12.609024

28 March 2005 Compression techniques for improved algorithm computational performance

Joseph N. Zalameda, Patricia A. Howell, William P. Winfree

Proceedings Volume 5782, Thermosense XXVII; (2005) https://doi.org/10.1117/12.609024
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Analysis of thermal data requires the processing of large amounts of temporal image data. The processing of the data for quantitative information can be time intensive especially out in the field where large areas are inspected resulting in numerous data sets. By applying a temporal compression technique, improved algorithm peformance can be obtained. In this study, analysis techniques are applied to compressed and non-compressed thermal data. A comparison is made based on computational speed and defect signal to noise.

Citation Download Citation

Joseph N. Zalameda, Patricia A. Howell, and William P. Winfree "Compression techniques for improved algorithm computational performance", Proc. SPIE 5782, Thermosense XXVII, (28 March 2005); https://doi.org/10.1117/12.609024

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