MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration

Image prior information is a determinative factor to tackle with the ill-posed problem. In this paper, we present a multi-filters guided low-rank tensor coding (MF-LRTC) model for image restoration. The appeal of constructing a low-rank tensor is obvious in many cases for data that naturally comes f...

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Bibliographic Details

Published in:	2017 IEEE International Conference on Image Processing (ICIP) pp. 2104 - 2108
Main Authors:	Lu, Hongyang, Li, Sanqian, Liu, Qiegen, Wang, Yuhao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2017
Subjects:	HOSVD decomposition Image restoration Indexes Low-rank tensor coding Multi-filters
ISSN:	2381-8549
Online Access:	Get full text
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