文件列表:

inpainting.m (4647, 2012-09-03)
inpainting_lines.m (9542, 2012-08-14)
main.m (431, 2012-09-03)
psnr_color.m (385, 2012-08-14)
robust_SL0.m (3373, 2012-08-13)
show_atoms_rgb.m (1971, 2012-08-14)
dict (0, 2012-08-13)
dict\ICA_dict.mat (285337, 2012-08-17)
images (0, 2012-08-13)
images\test (0, 2012-08-14)
images\test\castle.jpg (25610, 2011-10-13)
images\test\parrots.jpg (34805, 2011-11-18)
images\test\peppers.jpg (34233, 2011-11-18)
images\test\stone.jpg (51795, 2011-11-18)
images\test\trees.jpg (70333, 2011-11-18)
images\train (0, 2012-08-13)
images\train\samplemerry0135.jpg (483080, 2008-01-28)
images\train\samplemerry0196.jpg (496890, 2011-12-07)
images\train\sampleMerry_0007_Lasalle.jpg (549299, 2010-06-29)
images\train\sampleMerry_0030_Lasalle.jpg (583944, 2008-01-28)
images\train\sampleMerry_0039_Lasalle.jpg (533501, 2010-06-29)
images\train\samplemerry_florida0004.jpg (539057, 2010-06-29)
images\train\samplemerry_florida0034.jpg (572211, 2008-01-28)
images\train\samplemerry_mexico0063.jpg (351073, 2010-06-29)
images\train\samplemerry_mexico0093.jpg (504560, 2011-12-07)
images\train\samplemerry_mexico0123.jpg (468062, 2008-01-28)
images\train\samplemerry_mtl07_019.jpg (536709, 2010-06-29)
images\train\samplepippin0021.jpg (494574, 2011-12-07)
images\train\samplepippin0097.jpg (470887, 2008-01-25)
images\train\samplepippin0223.jpg (476426, 2010-06-29)
images\train\samplepippin0228.jpg (464284, 2011-12-07)
images\train\samplepippin0229.jpg (428287, 2011-12-07)
images\train\samplepippin0289.jpg (493650, 2011-12-07)
images\train\samplepippin_jtalon0002.jpg (417233, 2011-12-07)
images\train\samplepippin_Mex07_011.jpg (449583, 2010-06-29)
images\train\samplepippin_ParcSafari005.jpg (442261, 2010-06-29)
images\train\samplepippin_Peel062.jpg (462102, 2011-12-07)
images\train\samplepippin_UniStrt020.jpg (455775, 2010-06-29)
color_ssim.m (3238, 2012-08-13)
... ...

MATLAB code(s) for reproducing the results from the paper: M. Filipovic, I. Kopriva, A. Cichocki: Inpainting color images in learned dictionary, 20th European Signal Processing Conference (EUSIPCO), Special session on tensor decompositions and source separation, August 27-31, 2012., Bucharest, Romania CONTENTS: main - demonstration of dictionary learning and inpainting dict_learning - performs dictionary learning using the images from the training set inpainting - performs the inpainting with random pattern of missing pixels inpainting_lines - performs the inpainting with lines pattern of missing pixels robust_SL0 - implementation of the robust SL0 algorithm (from the paper: A. Eftekhari, M. Babaie-Zadeh, C. Jutten, H. Abrishami Moghaddam: Robust SL0 for stable sparse representation in noisy settings, ICASSP 2009.) utilities: psnr_color - calculates psnr for color images color_ssim - calculates Structural Similarity (SSIM) index for color images (implemented according to the paper: A. Toet, M. P. Lucassen: A new universal colour image fidelity metric, Displays (24), 2003., pp. 197-207); requires code for SSIM and tensor toolbox show_atoms_rgb - visualizes learned dictionary atoms images - folder with training (images\train) and test (images\test) images dict - folder in which the learned dictionary is stored REQUIREMENTS: The code uses several software packages, which can be (freely) downloaded on the internet: The FastICA package for MATLAB, http://research.ics.aalto.fi/ica/fastica/index.shtml (optional - if color_ssim is used) The SSIM index for image quality assessment (by Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli), https://ece.uwaterloo.ca/~z70wang/research/ssim/ (optional - if color_ssim is used) MATLAB Tensor Toolbox , http://csmr.ca.sandia.gov/~tgkolda/TensorToolbox/ (optional - if K-SVD is used for dictionary learning) KSVD-Box, http://www.cs.technion.ac.il/~ronrubin/software.html

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