Sciweavers

Share
ICIP
2009
IEEE

Structured pursuits for geometric super-resolution

9 years 7 months ago
Structured pursuits for geometric super-resolution
Super-resolution image zooming is possible when the image has some geometric regularity. We introduce a general class of non-linear inverse estimators, which combines linear estimators with mixing weights in a frame providing a sparse representation. Mixing weights are computed with a block decomposition, which minimizes a Tikhonov energy penalized by an l1 norm of the mixing weights. A fast orthogonal matching pursuit algorithm computes the mixing weights. Adaptive directional image interpolations are calculated with mixing weights in a wavelet frame.
Stéphane Mallat, Guoshen Yu
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICIP
Authors Stéphane Mallat, Guoshen Yu
Comments (0)
books