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» Local Blur Estimation and Super-Resolution
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CVPR
2004
IEEE
16 years 5 months ago
Super-Resolution through Neighbor Embedding
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
Hong Chang, Dit-Yan Yeung, Yimin Xiong
ICIAP
2009
ACM
15 years 10 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
ICPR
2004
IEEE
16 years 4 months ago
High Frequency Component Compensation based Super-Resolution Algorithm for Face Video Enhancement
This paper proposes a video-based super-resolution algorithm by high-frequency component compensation. Normalized logarithm distance (NLD) minimization on local shape feature is p...
Junwen Wu, Mohan M. Trivedi, Bhaskar D. Rao
TIP
2010
155views more  TIP 2010»
14 years 10 months ago
Multiframe Super-Resolution Reconstruction of Small Moving Objects
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
ICIP
2006
IEEE
16 years 4 months ago
Low Cost Robust Blur Estimator
A novel local blur estimation method is presented in the paper. Focal blur process is usually modeled as a Gaussian low-pass filtering and then the problem of blur estimation is t...
Hao Hu, Gerard de Haan