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 1057-7149Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|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|
|Depositing user:||Pure Administrator|
|Date Deposited:||11 Jul 2012 14:59|
|Last modified:||22 Mar 2017 12:12|