no code implementations • 7 Sep 2023 • Juan Han, Kit Ian Kou, Jifei Miao, LiZhi Liu, Haojiang Li
Color image completion is a challenging problem in computer vision, but recent research has shown that quaternion representations of color images perform well in many areas.
no code implementations • 12 Aug 2023 • Xiaoxiao Hu, Kit Ian Kou, Cuiming Zou, Dong Cheng
This paper introduces the idea of the color Clifford Hardy signal, which can be used to process color images.
no code implementations • 20 Jul 2023 • Jifei Miao, Kit Ian Kou, Hongmin Cai, LiZhi Liu
Therefore, in this paper, based on the left quaternion matrix multiplication, we propose the quaternion tensor left ring (QTLR) decomposition, which inherits the powerful and generalized representation abilities of the TR decomposition while leveraging the advantages of quaternions for color pixel representation.
no code implementations • 30 Apr 2023 • Jifei Miao, Kit Ian Kou, Liqiao Yang, Juan Han
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.
no code implementations • 2 Jan 2023 • Yanlin Zhang, Liqiao Yang, Kit Ian Kou, Yang Liu
In this paper, the fixed-time synchronization (FXTSYN) of unilateral coefficients quaternion-valued memristor-based neural networks (UCQVMNNs) with mixed delays is investigated.
no code implementations • 16 Dec 2022 • Liqiao Yang, Kit Ian Kou, Jifei Miao, Yang Liu, Maggie Pui Man Hoi
A novel low-rank completion algorithm based on the quaternion tensor is proposed in this paper.
no code implementations • 23 Nov 2022 • Juan Han, Liqiao Yang, Kit Ian Kou, Jifei Miao, LiZhi Liu
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).
no code implementations • 7 Sep 2022 • Jifei Miao, Kit Ian Kou, Liqiao Yang, Dong Cheng
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.
no code implementations • 19 Apr 2022 • Liqiao Yang, Yang Liu, Kit Ian Kou
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.
no code implementations • 28 Dec 2021 • Juan Han, Kit Ian Kou, Jifei Miao
In this study, we propose a quaternion-based DMD (Q-DMD), which extends the DMD by quaternion matrix analysis, so as to completely preserve the inherent color structure of the color image and the color video.
no code implementations • 6 Aug 2021 • Wenshan Bi, Dong Cheng, Kit Ian Kou
In this article, a robust color-edge feature extraction method based on the Quaternion Hardy filter is proposed.
no code implementations • 3 Jul 2021 • Liqiao Yang, Jifei Miao, Kit Ian Kou
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.
no code implementations • 2 Jan 2021 • Jifei Miao, Kit Ian Kou
In more recent years, the quaternion has proven to be a very suitable tool for color pixel representation as it can well preserve cross-channel correlation of color channels.
no code implementations • 6 Jan 2020 • Wenshan Bi, Dong Cheng, Kit Ian Kou
The QHF can be capable of color edge feature enhancement and noise resistance.
1 code implementation • 14 Sep 2019 • Jifei Miao, Kit Ian Kou
As a new color image representation tool, quaternion has achieved excellent results in color image processing problems.
Numerical Analysis Numerical Analysis Image and Video Processing
no code implementations • 17 Jul 2018 • Wenshan Bi Dong Cheng Wankai Liu, Kit Ian Kou
This paper presents a robust filter called quaternion Hardy filter (QHF) for color image edge detection.
no code implementations • 28 Jun 2016 • Cuiming Zou, Kit Ian Kou
This paper presents a novel kind of rotation moment invariants based on the Slepian functions, which were originally introduced in the method of separation of variables for Helmholtz equations.