Ultraspectral image compression using two-stage prediction: Prediction gain and rate-distortion analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-015-0801-5.pdf
Reference12 articles.
1. Herrero, R., Ingle, V.: Lossy compression of ultraspectral images: integrating preprocessing and compression stages. Signal Image Video Process., 1–12 (2012). doi: 10.1007/s11760-012-0397-y
2. Herrero, R., Ingle, V.: Space-filling curves applied to compression of ultraspectral images. Signal Image Video Process., 1–9 (2013). doi: 10.1007/s11760-013-0565-8
3. Herrero, R., Ingle, V.: Band ordering in compression of ultraspectral images. Signal Image Video Process. 8(2), 255–265 (2014). doi: 10.1007/s11760-013-0541-3
4. Li, C., Guo, K.: Lossless compression of hyperspectral images using three-stage prediction. In: Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on, pp. 1029–1032 (2013). doi: 10.1109/ICSESS.2013.6615482
5. Lin, C.C., Hwang, Y.T.: An efficient lossless compression scheme for hyperspectral images using two-stage prediction. Geosci. Remote Sens. Lett. IEEE 7(3), 558–562 (2010). doi: 10.1109/LGRS.2010.2041630
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