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» Local Feature Extraction for Image Super-Resolution
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ICIP
2007
IEEE
13 years 11 months ago
Local Feature Extraction for Image Super-Resolution
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two con...
Loïc Baboulaz, Pier Luigi Dragotti
CORR
2010
Springer
258views Education» more  CORR 2010»
13 years 5 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
ICIAR
2005
Springer
13 years 10 months ago
Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences
Abstract. Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature ...
Turgay Çelik, Cem Direkoglu, Hüseyin &...
CVPR
2004
IEEE
14 years 7 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
ICPR
2004
IEEE
14 years 6 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