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CVIU
2006
95views more  CVIU 2006»
13 years 7 months ago
Multispectral image data fusion using POCS and super-resolution
The problem of image data fusion coming from different sensors imaging the same object is to try to obtain a result that integrates the best characteristics of each one of those s...
Marcia L. S. Aguena, Nelson D. A. Mascarenhas
AVSS
2008
IEEE
13 years 9 months ago
Super-Resolution of Facial Images in Video with Expression Changes
Super-resolution (SR) of facial images from video suffers from facial expression changes. Most of the existing SR algorithms for facial images make an unrealistic assumption that ...
Jiangang Yu, Bir Bhanu
DAGM
2008
Springer
13 years 9 months ago
Resolution Enhancement of PMD Range Maps
Photonic mixer device (PMD) range cameras are becoming popular as an alternative to algorithmic 3D reconstruction but their main drawbacks are low-resolution (LR) and noise. Recent...
A. N. Rajagopalan, Arnav V. Bhavsar, Frank Wallhof...
ISVC
2010
Springer
13 years 6 months ago
How to Overcome Perceptual Aliasing in ASIFT?
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
Nicolas Noury, Frédéric Sur, Marie-O...
TIP
2010
255views more  TIP 2010»
13 years 2 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