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158
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Methods for super-resolution can be broadly classified
into two families of methods: (i) The classical multi-image
super-resolution (combining images obtained at subpixel
misali...
241
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ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
Many applications in computer vision require comparisons
between two images of the same scene. Comparison
applications usually assume that corresponding regions in
the two image...
206
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Methods for super-resolution (SR) can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misa...
170
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
165
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies the following paradi...