Adaptive compression method for underwater images based on perceived quality estimation
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/content/pdf/10.1631/FITEE.1700737.pdf
Reference21 articles.
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3. Chen WL, Yuan F, Cheng E, 2016. Adaptive underwater image compression with high robust based on compressed sensing. IEEE Int Conf on Signal Processing, p.1–6. https://doi.org/10.1109/ICSPCC.2016.7753722
4. Donoho DL, 2006. Compressed sensing. IEEE Trans Infrom Theory, 52(4):1289–1306. https://doi.org/10.1109/tit.2006.871582
5. Koumaras H, Kourtis A, Martakos D, et al., 2007. Quantified PQoS assessment based on fast estimation of the spatial and temporal activity level. Multim Tools Appl, 34(3):355–374. https://doi.org/10.1007/s11042-007-0111-1
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