80 search results - page 1 / 16 » Nonlinear approximation based image recovery using adaptive ... |
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
SIAMIS
2011
13 years 22 days ago
2011
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint th...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
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...