zhaoxile / Multi-dimensional-imaging-data-recovery-via-minimizing-the-partial-sum-of-tubal-nuclear-norm

code of Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

Brief description

This demo contains the implementation of the experiments in: Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng; ''Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm'' accepted by Journal of Compuational and applied Mathematics (JCAM)
The preprint is available at https://arxiv.org/abs/1712.05870
if you use this code, please cite

     @article{jiang2019multi,
              title = {Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm},
              author = {Jiang, Tai-Xiang and Huang, Ting-Zhu and Zhao, Xi-Le and Deng, Liang-Jian},
              journal = {Journal of Computational and Applied Mathematics},
              year = {2019},
              publisher = {Elsevier},
              doi = {10.1016/j.cam.2019.112680}
              }

.p files will be replaced by .m soon. Contact: [e-mail]
Date: 7th Feb. 2018

Demo_image_recovery.m --> for the experiments of image recvoery
Demo_highorderdata_completion.m --> for the experiments of high order data recvoery
Demo_initial_sensitivity.m --> for the experiments of sensitivety fo
initializations

The authors would like to express their sincere thanks to
Dr. Canyi Lu (https://sites.google.com/site/canyilu/)
and
Zemin Zhang (https://sites.google.com/site/jamiezeminzhang/)
for their generous sharing of their code.Meanwhile, we promiose that
our code will all be updated as .m format as soon as the publication of our paper.