2 citations · 5 across the 10 of their papers we have counts for
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Quaternion Tensor Completion with Sparseness for Color Video Recovery
Liqiao Yang, Kit Ian Kou, Jifei Miao +2
A novel low-rank completion algorithm based on the quaternion tensor is proposed in this paper. This approach uses the TQt-rank of quaternion tensor to maintain the structure of RG…
Low Rank Quaternion Matrix Completion Based on Quaternion QR Decomposition and Sparse Regularizer
Juan Han, Liqiao Yang, Kit Ian Kou +2
Matrix completion is one of the most challenging problems in computer vision. Recently, quaternion representations of color images have achieved competitive performance in many fie…
Quaternion Tensor Train Rank Minimization with Sparse Regularization in a Transformed Domain for Quaternion Tensor Completion
Jifei Miao, Kit Ian Kou, Liqiao Yang +1
The tensor train rank (TT-rank) has achieved promising results in tensor completion due to its ability to capture the global low-rankness of higher-order (>3) tensors. On the other…
Quaternion Optimized Model with Sparse Regularization for Color Image Recovery
Liqiao Yang, Yang Liu, Kit Ian Kou
This paper addresses the color image completion problem in accordance with low-rank quatenrion matrix optimization that is characterized by sparse regularization in a transformed d…