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P. Maurel, J-F. Aujol, G. Peyré. Locally Parallel Texture Modeling. SIAM Journal on Imaging Sciences, 4(1), pp. 413–447, 2011.

Home Page: https://hal.archives-ouvertes.fr/hal-00415779/

MATLAB 38.74% M 0.29% TeX 60.97%

2011-siims-tv-hilbert's Introduction

This Matlab package contains the source code to reproduce the figure of the article:

P. Maurel, J-F. Aujol, G. Peyré. Locally Parallel Texture Modeling. SIAM Journal on Imaging Sciences, 4(1), pp. 413–447, 2011.

Texture inpainting

  • display_orientations: display instantaneous frequencies of an image
  • estimate_amplitudes: try to estimate the amplitudes of the frequence in Chi
  • estimate_orientations: instaneous frequencies computation
  • estimate_orientations_zeropadding: compute instant frequency with zooming using zeropadding
  • gabor_weights: weights for the convex norme
  • non_convex_weight: build weights Chi for the non-convex norm
  • test_h,test_h2,test_diff_h,test_diff_h2: functions h of the paper (rendering function) and its derivatives
  • texture_synthesis: synthesize a texture from a field orientation/frequencies
  • TV_Hilbert_Adapted: structure/texture decomposition using our convex norm in the noiseless case
  • TV_Hilbert_Adapted_Noise: same with noise
  • TV_Hilbert_Adapted_noise_non_convex: decomposition using the non convex norme
  • TV_Hilbert_Inpainting: inpainting using the convex norm
  • TV_Hilbert_Inpainting_non_convex: same but non convex
  • TV_Inpainting: TV inpainting
  • TV_L2: TV/L2 decomposition

Copyright (c) 2011 P. Maurel

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