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» Fractal-wavelet image denoising
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TIP
2002
179views more  TIP 2002»
13 years 9 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
CVPR
2012
IEEE
12 years 10 days ago
Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
Kaushik Mitra, Ashok Veeraraghavan
TIP
2010
154views more  TIP 2010»
13 years 4 months ago
Efficient Fourier-Wavelet Super-Resolution
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...
M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, S...
ICASSP
2011
IEEE
13 years 1 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
CIMAGING
2010
189views Hardware» more  CIMAGING 2010»
13 years 11 months ago
Novel integro-differential equations in image processing and its applications
Motivated by the hierarchical multiscale image representation of Tadmor et al.,1 we propose a novel integrodifferential equation (IDE) for a multiscale image representation. To th...
Prashant Athavale, Eitan Tadmor