2010 IEEE International Conference on Computational Intelligence and Computing Research 2010
DOI: 10.1109/iccic.2010.5705861
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An efficient GEM model for image inpainting using a new directional sparse representation: Discrete Shearlet Transform

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Cited by 5 publications
(13 citation statements)
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“…This approach was derived within a larger class of affine-like systems-the so-called composite wavelets [39,40,41]-as a truly multivariate extension of the wavelet framework. One of the distinctive features of shearlets is the use of shearing to control directional selectivity, in contrast to rotation used by curvelets.…”
Section: Wavelets and Beyondmentioning
confidence: 99%
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“…This approach was derived within a larger class of affine-like systems-the so-called composite wavelets [39,40,41]-as a truly multivariate extension of the wavelet framework. One of the distinctive features of shearlets is the use of shearing to control directional selectivity, in contrast to rotation used by curvelets.…”
Section: Wavelets and Beyondmentioning
confidence: 99%
“…By removing the assumption that ψ is well localized in Definition 5, one can construct discrete shearlet systems which form not only tight frames but also orthonormal bases, as indicated in [39,41]. This naturally raises the question whether well-localized shearlet orthonormal bases do exit.…”
Section: Discrete Shearlet Systems and Transformsmentioning
confidence: 99%
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“…In [19], another shearlet-based image fusion method was developed for panchromatic high resolution images and multispectral images, and it was shown that it provides superior performance in terms of spatial resolution and preservation of spectral information. For the applications of inpainting, which can be described as an interpolation or estimation problem with missing data, a shearletbased techique was recently presented in [41]. Fig.…”
Section: Additional Applicationsmentioning
confidence: 99%