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ICASSP
2011
IEEE
12 years 11 months ago
Analysis of unknown velocity and target off the grid problems in compressive sensing based subsurface imaging
Sparsity of target space in subsurface imaging problem is used within the framework of the compressive sensing (CS) theory in recent publications to decrease the data acquisition ...
Mehmet Ali Çagri Tuncer, Ali Cafer Gurbuz
CORR
2011
Springer
179views Education» more  CORR 2011»
12 years 11 months ago
Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing
: We demonstrate that sub-wavelength optical images borne on partially-spatially-incoherent light can be recovered, from their far-field or from the blurred image, given the prior ...
Yoav Shechtman, Yonina C. Eldar, Alexander Szameit...
ICIP
2010
IEEE
13 years 5 months ago
Sectional image reconstruction in optical scanning holography using compressed sensing
Optical scanning holography is a form of digital holographic system, which allows us to capture a three-dimensional (3D) object in the two-dimensional (2D) hologram. A postprocess...
Xin Zhang, Edmund Y. Lam
ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICIP
1999
IEEE
13 years 11 months ago
Edge Directed Prediction for Lossless Compression of Natural Images
This paper sheds light on the recent least-square (LS)-based adaptive prediction schemes for lossless compression of natural images. Our analysis shows that the superiority of the ...
Xin Li, Michael T. Orchard