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Volume: 5 | Article ID: art00039
Color Image Super Resolution: A Two-Step Approach Based on Geometric Grouplets
  DOI :  10.2352/CGIV.2010.5.1.art00039  Published OnlineJanuary 2010

In this work, a two-step technique for constructing a superresolution (SR) image from a single multi-valued low-resolution (LR) input image is proposed. The problem of SR is treated from the perspective of image geometry-oriented interpolation. The first step consists of computing the image geometry of the LR image by using the grouplet transform. Having well represented the geometry of each color channel in the LR image, we propose a grouplet-based structure tensor whose role is to couple the geometrical information of the different image color components. In a second step, a functional is defined on the multispectral geometry defined by this structure tensor. The minimization of this functional insures the synthesize of the SR image. The proposed super-resolution algorithm outperforms the state-of-theart methods in terms of visual quality of the interpolated image.

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Aldo Maalouf, Mohamed-Chaker Larabi, "Color Image Super Resolution: A Two-Step Approach Based on Geometric Groupletsin Proc. IS&T CGIV 2010/MCS'10 5th European Conf. on Colour in Graphics, Imaging, and Vision 12th Int'l Symp. on Multispectral Colour Science,  2010,  pp 240 - 246,

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Conference on Colour in Graphics, Imaging, and Vision
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