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JMIV
2008
214views more  JMIV 2008»
14 years 9 months ago
A Network Flow Algorithm for Reconstructing Binary Images from Continuous X-rays
Tomography is a powerful technique to obtain accurate images of the interior of an object in a nondestructive way. Conventional reconstruction algorithms, such as filtered backproj...
Kees Joost Batenburg
ICIP
1998
IEEE
15 years 1 months ago
Iterative Determination of Local Bound Constraints in Iterative Image Restoration
In this paper, the problem of how to better estimate spatially adaptive intensity bounds for image restoration is addressed. When the intensity bounds are estimated from a degrade...
Kaaren May, Tania Stathaki, Anthony G. Constantini...
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
14 years 11 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
CVPR
2011
IEEE
14 years 3 months ago
A Two-Stage Reconstruction Approach for Seeing Through Water
Several attempts have been lately proposed to tackle the problem of recovering the original image of an underwater scene using a sequence distorted by water waves. The main draw...
Omar Oreifej, Guang Shu, Teresa Pace, and Mubarak ...
ISSAC
2004
Springer
86views Mathematics» more  ISSAC 2004»
15 years 3 months ago
Maximal quotient rational reconstruction: an almost optimal algorithm for rational reconstruction
Let n/d ∈ Q, m be a positive integer and let u = n/d mod m. Thus u is the image of a rational number modulo m. The rational reconstruction problem is; given u and m find n/d.
Michael B. Monagan