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1 September 1995 Recce imagery compression options
Donald J. Healy
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Proceedings Volume 2555, Airborne Reconnaissance XIX; (1995) https://doi.org/10.1117/12.218609
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States
Abstract
The errors introduced into reconstructed RECCE imagery by ATARS DPCM compression are compared to those introduced by the more modern DCT-based JPEG compression algorithm. For storage applications in which uncompressed sensor data is available JPEG provides better mean-square-error performance while also providing more flexibility in the selection of compressed data rates. When ATARS DPCM compression has already been performed, lossless encoding techniques may be applied to the DPCM deltas to achieve further compression without introducing additional errors. The abilities of several lossless compression algorithms including Huffman, Lempel-Ziv, Lempel-Ziv-Welch, and Rice encoding to provide this additional compression of ATARS DPCM deltas are compared. It is shown that the amount of noise in the original imagery significantly affects these comparisons.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Donald J. Healy "Recce imagery compression options", Proc. SPIE 2555, Airborne Reconnaissance XIX, (1 September 1995); https://doi.org/10.1117/12.218609
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KEYWORDS
Image compression
Signal to noise ratio
Computer programming
Sensors
Data storage
Reconstruction algorithms
Image sensors
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