ARPENOS
Automated Removal of quasi-PEriodic NOise using
frequency domain Statistics
The following codes can be used for academic research only:
MATLAB function:
ARPENOS.m v1.2
Example script and images:
ARPENOS_example.m;
mandril_gray.tif;
boat.png
Needs symmetrically padded convolution:
sym_conv2.m
Description of the
Total Variation minimization postprocessing:
note_TVmin.pdf
Additional experiments (canvas pattern removal in paintings):
canvas.m. Images:
Rockwell - Carry On - 002.jpg (from
here),
Rockwell - Carry On - 003.jpg (from
here),
Rockwell - The Adventure Trail - 003.jpg (from
here),
Rockwell - Our Heritage - 002.jpg (from
here), and
one_inclusions.sm_.jpg (from
here).
Please
cite:
F. Sur, M. Grédiac.
Automated removal of quasiperiodic noise using frequency domain statistics.
Journal of Electronic Imaging, IS&T / SPIE, vol. 24, no. 1, pages 013003/1-19, IS&T / SPIE, 2015.
Link.
Pdf file.
Bibtex entry.
Additional experiments can be found in:
F. Sur, M. Grédiac.
An automated approach to quasi-periodic noise removal in natural images. INRIA report RR-8660, January 2015. 57 pages.
HAL link.
Pdf file.
Bibtex entry.
See also
AC-ARPENOS and the corresponding image database.
History:
January 2015: v1.0, first release.
June 2015: v1.1, spectrum inerpolation with TV minimization.
January 2016: experiments on canvas pattern removal.
August 2016: v1.2, numerical scheme for constrained TV minimization corrected.
Last modified: August 26th, 2016.