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» A Novel Framework for Imaging Using Compressed Sensing
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ICASSP
2011
IEEE
12 years 11 months ago
Snapshot spectral imaging via compressive random convolution
Spectral imaging is of interest in many applications, including wide-area airborne surveillance, remote sensing, and tissue spectroscopy. Coded aperture spectral snapshot imaging ...
Yao Wu, Gonzalo R. Arce
VCIP
2000
146views Communications» more  VCIP 2000»
13 years 8 months ago
Novel video coding scheme using adaptive mesh-based interpolation and node tracking
An alternative method to H.263 for encoding of moving images at bit rates below 64 kbit/s is presented using adaptive spatial subsampling, mesh based interpolation and node tracki...
Eckhart Baum, Joachim Speidel
ICIAR
2005
Springer
14 years 1 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
ICASSP
2009
IEEE
14 years 2 months ago
Compressive spectral estimation for nonstationary random processes
We propose a “compressive” estimator of the Wigner-Ville spectrum (WVS) for time-frequency sparse, underspread, nonstationary random processes. A novel WVS estimator involving...
Alexander Jung, Georg Tauböck, Franz Hlawatsc...
EUROMICRO
1998
IEEE
13 years 11 months ago
Image Compression Using the Wavelet Transform on Textural Regions of Interest
This paper suggests a new image compression scheme, using the discrete wavelet transformation (DWT), which is based on attempting to preserve the texturally important image charac...
Dimitris A. Karras, S. A. Karkanis, Basil G. Mertz...