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CVPR
2010
IEEE
16 years 1 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...
SCALESPACE
2007
Springer
15 years 11 months ago
Super-Resolution Using Sub-band Constrained Total Variation
Abstract. Super-resolution of a single image is a severely ill-posed problem in computer vision. It is possible to consider solving this problem by considering a total variation ba...
Priyam Chatterjee, Vinay P. Namboodiri, Subhasis C...
PAMI
2010
337views more  PAMI 2010»
15 years 3 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
108
Voted
JMIV
2011
72views more  JMIV 2011»
14 years 12 months ago
Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal Stochastic Processes
Pierre Chainais, Emilie Koenig, Véronique D...