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ICPR
2002
IEEE
14 years 28 days ago
High-Resolution Reconstruction of Sparse Data from Dense Low-Resolution Spatio-Temporal Data
Abstract—A novel approach for reconstruction of sparse highresolution data from lower-resolution dense spatio-temporal data is introduced. The basic idea is to compute the dense ...
Qing Yang, Bahram Parvin
ICIP
2009
IEEE
14 years 2 months ago
A Novel Framework for Imaging Using Compressed Sensing
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
Pradeep Sen and Soheil Darabi
BMVC
1996
13 years 9 months ago
Linear Projective Reconstruction from Matching Tensors
This paperdescribes initial work on a family of projectivereconstructiontechniques that extract projection matrices directly and linearly from matching tensors estimated from imag...
Bill Triggs
PR
2007
91views more  PR 2007»
13 years 7 months ago
Image reconstruction from limited range projections using orthogonal moments
A set of orthonormal polynomials is proposed for image reconstruction from projection data. The relationship between the projection moments and image moments is discussed in detai...
Huazhong Shu, Jian Zhou, Guo-Niu Han, Limin Luo, J...
AUSAI
2007
Springer
14 years 2 months ago
Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study
Abstract. Although Computed Tomography (CT) is a mature discipline, the development of techniques that will further reduce radiation dose are still essential. This paper makes step...
A. P. Dalgleish, David L. Dowe, Imants D. Svalbe