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PAMI
2010
337views more  PAMI 2010»
14 years 10 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
IGARSS
2009
14 years 9 months ago
Unmixing Sparse Hyperspectral Mixtures
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...
Marian-Daniel Iordache, José M. Bioucas-Dia...
ICASSP
2011
IEEE
14 years 3 months ago
SSIM-inspired image denoising using sparse representations
Perceptual image quality assessment (IQA) and sparse signal representation have recently emerged as high-impact research topics in the field of image processing. Here we make one...
Abdul Rehman, Zhou Wang, Dominique Brunet, Edward ...
DAC
2011
ACM
13 years 11 months ago
Efficient incremental analysis of on-chip power grid via sparse approximation
In this paper, a new sparse approximation technique is proposed for incremental power grid analysis. Our proposed method is motivated by the observation that when a power grid net...
Pei Sun, Xin Li, Ming Yuan Ting
SGAI
2005
Springer
15 years 5 months ago
Geometric Proportional Analogies In Topographic Maps: Theory and Application
This paper details the application of geometric proportional analogies in the sub-classification of polygons within a topographic (land cover) map. The first part of this paper co...
Emma-Claire Mullally, Diarmuid P. O'Donoghue, Amy ...