Instructions for use Title Missing Texture Reconstruction Method Based on Error Reduction Algorithm Using Fourier Transform Magnitude Estimation Scheme

نویسندگان

  • Author Ogawa
  • Takahiro Haseyama
  • Takahiro Ogawa
  • Miki Haseyama
چکیده

A missing texture reconstruction method based on an error reduction (ER) algorithm including a novel estimation scheme of Fourier transform magnitudes is presented in this correspondence. In our method, Fourier transform magnitude is estimated for a target patch including missing areas, and the missing intensities are estimated by retrieving its phase based on the ER algorithm. Specifically, by monitoring errors converged in the ER algorithm, known patches whose Fourier transform magnitudes are similar to that of the target patch are selected from the target image. In the second approach, the Fourier transform magnitude of the target patch is estimated from those of the selected known patches and their corresponding errors. Consequently, by using the ER algorithm, we can estimate both the Fourier transform magnitudes and phases to reconstruct the missing areas.

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تاریخ انتشار 2016