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Onboard Near-Lossless Data Compression Techniques
2013The vector-quantization-based lossy compression algorithms discussed in Chapter 4 can easily achieve compression ratios of 50:1 or more if some loss in fidelity of the reconstructed data can be tolerated in exchange for the higher compression ratio. Caution must be taken when a lossy data compression algorithm is applied to satellite data. For example,
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Optimized Onboard Lossless and Near-Lossless Compression of Hyperspectral Data Using CALIC
IEEE Geoscience and Remote Sensing Letters, 2004Enrico Magli, G Olmo
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Unified Lossy and Near-Lossless Hyperspectral Image Compression Based on JPEG 2000
IEEE Geoscience and Remote Sensing Letters, 2008Enrico Magli
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Lossless and near-lossless compression of hyperspectral images based on distributed source coding
Journal of Visual Communication and Image Representation, 2015Yongjian Nian, Mi He, Jianwei Wan
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Lossless and near lossless compression of real color filter array data
IEEE Transactions on Consumer Electronics, 2008Karen Egiazarian
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Near-lossless compression for medical image in PACS
Journal of Image and Graphics, 2013Ping Li +3 more
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Near-lossless image authentication transparent to near-lossless compression
2004CALDELLI, ROBERTO +3 more
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Context-based near-lossless compression of EEG signals using neural network predictors
AEU - International Journal of Electronics and Communications, 2009N Sriraam
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