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

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.

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

readme.md