Color image and video restoration using tensor CP decomposition

被引：0
作者：
A. H. Bentbib
A. Khouia
H. Sadok
机构：
[1] LAMAI,University Cadi Ayyad
[2] LMPA,University Littoral Cote d’Opale
来源：
BIT Numerical Mathematics | 2022年 / 62卷
关键词：
CP decomposition; Color image restoration; Video restoration; LSQR; 65F10; 65F22;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes a new approach to image and video restoration. This approach constructs a degradation model based on a tensor representation, where a color image is represented by a third-order tensor, and a video composed of color images is a fourth-order tensor. Applying tensor CP decomposition to our original problem leads to three subproblems. To solve those subproblems, we apply global LSQR algorithm, and a new algorithm based on Golub Kahan bidiagonalization. Some numerical tests are presented to show the effectiveness of the proposed methods.
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页码：1257 / 1278
页数：21
相关论文
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