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» Context-Constrained Hallucination for Image Super-Resolution
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CVPR
2010
IEEE
14 years 1 months ago
Context-Constrained Hallucination for Image Super-Resolution
This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs,...
Jian Sun, Jiejie Zhu, Marshall Tappen
TIP
2011
169views more  TIP 2011»
12 years 12 months ago
From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework
Abstract—We have developed a new face hallucination framework termed from local pixel structure to global image super-resolution (LPS-GIS). Based on the assumption that two simil...
Yu Hu, Kin-Man Lam, Guoping Qiu, Tingzhi Shen
TIP
2010
255views more  TIP 2010»
12 years 11 months 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
2005
IEEE
14 years 7 months ago
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
In this paper, we propose a new face hallucination framework based on image patches, which integrates two novel statistical super-resolution models. Considering that image patches...
Wei Liu, Dahua Lin, Xiaoou Tang
ICIAP
2009
ACM
13 years 11 months ago
Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation
A learning-based face hallucination method is proposed in this paper for the reconstruction of a high-resolution face image from a low-resolution observation based on a set of high...
Xiang Ma, Junping Zhang, Chun Qi