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Total Variation Based Oversampling of Noisy Images

  • Franςois Malgouyres⋆
Conference paper
Part of the Lecture Notes in Computer Science 2106 book series (LNCS, volume 2106)

Abstract

We propose a variational model which permits to simultaneously deblur and oversample an image. Indeed, after some recalls on an existing variational model for image oversampling, we show how to modify it in order to properly achieve our two goals. We discuss the modification both under a theoretical point of view (the analysis of the preservation of some structural elements) and the practical point of view of experimental results.We also describe the algorithm used to compute a solution to this model.

Keywords

Total Variation Discrete Fourier Transform Reference Image Wavelet Packet Initial Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Franςois Malgouyres⋆
    • 1
  1. 1.Dept. of MathematicsUniversity of California Los AngelesLos Angeles

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