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    » Higher Order Image Pyramids
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    137
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    ISCAS
    2007
    IEEE
    241views Hardware» more  ISCAS 2007»
    Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
    15 years 9 months ago
    Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
    Download  www-ee.uta.edu
    — In this paper, a modified version of the complex directional pyramid (PDTDFB) is proposed. Unlike the previous approach, the new FB provides an approximately tight-frame decom...
    An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
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    101
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    ISBI
    2007
    IEEE
    122views Medical Imaging» more  ISBI 2007»
    Exponential Tensors: A Framework for Efficient Higher-Order Dt-mri Computations
    15 years 9 months ago
    Exponential Tensors: A Framework for Efficient Higher-Order Dt-mri Computations
    Download  www.cise.ufl.edu
    Angelos Barmpoutis, Baba C. Vemuri
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    95
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    CVPR
    2005
    IEEE
    164views Computer Vision» more  CVPR 2005»
    Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering
    16 years 4 months ago
    Higher-Order Image Statistics for Unsupervised, Information-Theoretic, Adaptive, Image Filtering
    Download  www.cs.utah.edu
    Suyash P. Awate, Ross T. Whitaker
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    97
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    DAGM
    2005
    Springer
    114views Image Processing» more  DAGM 2005»
    Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering
    15 years 8 months ago
    Stability and Local Feature Enhancement of Higher Order Nonlinear Diffusion Filtering
    Download  www.mia.uni-saarland.de
    Stephan Didas, Joachim Weickert, Bernhard Burgeth
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    129
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    MVA
    1990
    143views Computer Vision» more  MVA 1990»
    Multiresolution Pyramid Architectures for Real-Time Motion Analysis
    15 years 4 months ago
    Multiresolution Pyramid Architectures for Real-Time Motion Analysis
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Multiresolution pyramid techniques can improve the efficiency of basic vision algorithms by orders of magnitude. They will be key to developing practical vision systems to perform...
    Peter J. Burt
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