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CORR
2010
Springer
258views Education» more  CORR 2010»
15 years 2 months ago
Single Frame Image super Resolution using Learned Directionlets
In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. Th...
A. P. Reji, Tessamma Thomas
ECCV
2006
Springer
15 years 6 months ago
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
Hui Ji, Cornelia Fermüller
CVPR
1997
IEEE
16 years 4 months ago
Local Blur Estimation and Super-Resolution
Until now, all super-resolution algorithms have presumed that the images were taken under the same illumination conditions. This paper introduces a new approach to super-resolutio...
Ming-Chao Chiang, Terrance E. Boult
105
Voted
TIP
2010
142views more  TIP 2010»
14 years 9 months ago
Robust Web Image/Video Super-Resolution
Abstract--This paper proposes a robust single-image super-resolution method for enlarging low quality web image/video degraded by downsampling and compression. To simultaneously im...
Zhiwei Xiong, Xiaoyan Sun, Feng Wu
111
Voted
CVPR
2004
IEEE
16 years 4 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