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Found 7 papers, 0 papers with code
Quaternion Matrix Completion Using Untrained Quaternion Convolutional Neural Network for Color Image Inpainting
To address the two drawbacks of the existing quaternion matrix completion approaches mentioned above, this paper tends to use an untrained quaternion convolutional neural network (QCNN) to directly generate the completed quaternion matrix.
Fixed-time synchronization for quaternion-valued memristor-based neural networks with mixed delays
In this paper, the fixed-time synchronization (FXTSYN) of unilateral coefficients quaternion-valued memristor-based neural networks (UCQVMNNs) with mixed delays is investigated.
Quaternion Tensor Completion with Sparseness for Color Video Recovery
A novel low-rank completion algorithm based on the quaternion tensor is proposed in this paper.
Low Rank Quaternion Matrix Completion Based on Quaternion QR Decomposition and Sparse Regularizer
In contrast to the traditional quaternion matrix completion algorithms based on quaternion singular value decomposition (QSVD), we propose a novel method based on quaternion Qatar Riyal decomposition (QQR).
Quaternion Tensor Train Rank Minimization with Sparse Regularization in a Transformed Domain for Quaternion Tensor Completion
Combining both the global low-rank and local sparse priors of the quaternion tensor, we propose a novel quaternion tensor completion model, i. e., QTT-rank minimization with sparse regularization in a transformed domain.
Quaternion Optimized Model with Sparse Regularization for Color Image Recovery
In addition, the representation of a low-rank structure that is intrinsic to the color image is a vital issue in the quaternion matrix completion problem.
Low Rank Quaternion Matrix Recovery via Logarithmic Approximation
From one side, unlike the traditional matrix completion method that handles RGB channels separately, the quaternion-based method is able to avoid destroying the structure of images via putting the color image in a pure quaternion matrix.
