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TIP
2010
255views more  TIP 2010»
13 years 29 days ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
CVPR
2010
IEEE
14 years 2 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
TSMC
2010
13 years 28 days ago
Low-Resolution Gait Recognition
Being non-invasive and effective at a distance, recognition suffers from low resolution sequence case. In this paper, we attempt to address the issue through the proposed high freq...
Junping Zhang, Jian Pu, Changyou Chen, Rudolf Flei...
ICIP
2010
IEEE
13 years 4 months ago
Generalized YUV interpolation of CFA images
This paper presents a simple yet effective color filter array (CFA) interpolation algorithm. It is based on a linear interpolating kernel, but operates on YUV space, which results...
Meng Wang, Thierry Blu
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
14 years 9 days ago
Combining PCA and LFA for Surface Reconstruction from a Sparse Set of Control Points
This paper presents a novel method for 3D surface reconstruction based on a sparse set of 3D control points. For object classes such as human heads, prior information about the cl...
Reinhard Knothe, Sami Romdhani, Thomas Vetter