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SIAMMAX
2010
76views more  SIAMMAX 2010»
12 years 11 months ago
Matrix Structures and Parallel Algorithms for Image Superresolution Reconstruction
Computational resolution enhancement (superresolution) is generally regarded as a memory intensive process due to the large matrix-vector calculations involved. In this paper, a de...
Qiang Zhang, Richard T. Guy, Robert J. Plemmons
ICPR
2008
IEEE
13 years 11 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind
JPDC
2008
138views more  JPDC 2008»
13 years 4 months ago
Efficient parallel implementation of iterative reconstruction algorithms for electron tomography
Electron tomography (ET) combines electron microscopy and the principles of tomographic imaging in order to reconstruct the threedimensional structure of complex biological specim...
José-Jesús Fernández, Dan Gor...
ICPR
2006
IEEE
14 years 5 months ago
Accurate 3-D Motion Tracking with an Application to Super-Resolution
Many of the existing image processing applications, in particular the construction of super-resolution videos, require an accurate high-speed motion tracking algorithm. This paper...
Kin-hong Wong, Michael Ming-Yuen Chang, Siu-Hang O...
CG
2005
Springer
13 years 4 months ago
Hyper-Resolution: Image detail reconstruction through parametric edges
Hyper-Resolution, a new technique for super-resolution reconstruction of images, is based on matching lowresolution target image details to their high-resolution counterparts from...
Lijun Yin, Matt T. Yourst