Multi-Frequency Image Completion via a Biologically-Inspired Sub-Riemannian Model with Frequency and Phase

  title={Multi-Frequency Image Completion via a Biologically-Inspired Sub-Riemannian Model with Frequency and Phase},
  author={Emre Baspinar},
  journal={Journal of Imaging},
  • E. Baspinar
  • Published 27 October 2021
  • Computer Science
  • Journal of Imaging
We present a novel cortically-inspired image completion algorithm. It uses five-dimensional sub-Riemannian cortical geometry, modeling the orientation, spatial frequency and phase-selective behavior of the cells in the visual cortex. The algorithm extracts the orientation, frequency and phase information existing in a given two-dimensional corrupted input image via a Gabor transform and represents those values in terms of cortical cell output responses in the model geometry. Then, it performs… 


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