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» Simple and practical algorithm for sparse Fourier transform
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ICIP
2007
IEEE
14 years 1 months ago
Sparse Gradient Image Reconstruction Done Faster
In a wide variety of imaging applications (especially medical imaging), we obtain a partial set or subset of the Fourier transform of an image. From these Fourier measurements, we...
Ray Maleh, Anna C. Gilbert, Martin J. Strauss
DCC
2008
IEEE
14 years 7 months ago
Sublinear Recovery of Sparse Wavelet Signals
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...
Ray Maleh, Anna C. Gilbert
SIAMIS
2008
279views more  SIAMIS 2008»
13 years 7 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
CVPR
2010
IEEE
14 years 3 months ago
Fast Image Alignment in the Fourier Domain
In this paper we propose a framework for gradient descent image alignment in the Fourier domain. Specifically, we propose an extension to the classical Lucas & Kanade (LK) a...
Ahmed Ashraf, Simon Lucey, Tsuhan Chen
PODS
2004
ACM
86views Database» more  PODS 2004»
14 years 7 months ago
Frontiers of Tractability for Typechecking Simple XML Transformations
Typechecking consists of statically verifying whether the output of an XML transformation is always conform to an output type for documents satisfying a given input type. We focus...
Wim Martens, Frank Neven