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Onboard low-complexity compression of solar stereo images

Wang, S. and Cui, Lijuan and Cheng, Samuel and Stankovic, Lina and Stankovic, Vladimir (2012) Onboard low-complexity compression of solar stereo images. IEEE Transactions on Image Processing, 21 (6). 3114 - 3118. ISSN 1057-7149

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Abstract

We propose an adaptive distributed compression solution using particle filtering that tracks correlation, as well as performing disparity estimation, at the decoder side. The proposed algorithm is tested on the stereo solar images captured by the twin satellites system of NASA's Solar TErrestrial RElations Observatory (STEREO) project. Our experimental results show improved compression performance w.r.t. to a benchmark compression scheme, accurate correlation estimation by our proposed particle-based belief propagation algorithm, and significant peak signal-to-noise ratio improvement over traditional separate bit-plane decoding without dynamic correlation and disparity estimation.

Item type: Article
ID code: 40399
Keywords: remote sensing, image coding, stereo image processing, data compression, solar stereo images, Electrical engineering. Electronics Nuclear engineering, Computer Graphics and Computer-Aided Design, Software
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 11 Jul 2012 15:59
    Last modified: 05 Sep 2014 16:43
    URI: http://strathprints.strath.ac.uk/id/eprint/40399

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