Review of quaternion-based color image processing methods
Images are a convenient way for humans to obtain information and knowledge, but they are
often destroyed throughout the collection or distribution process. Therefore, image …
often destroyed throughout the collection or distribution process. Therefore, image …
Quaternion-based 2D-DOST and stacked principal component analysis network for multimodal face recognition
Z Shao, L Li, B Li, Y Shang, G Coatrieux, H Shu… - Applied Soft …, 2024 - Elsevier
Face recognition is widely utilized and has become a ubiquitous part of daily lives. However,
original face images are often sensitive and unauthorized access could imperil personal …
original face images are often sensitive and unauthorized access could imperil personal …
Quaternions in Signal and Image Processing: A comprehensive and objective overview
Quaternions are still largely misunderstood and often considered an “exotic” signal
representation without much practical utility despite the fact that they have been around the …
representation without much practical utility despite the fact that they have been around the …
Joint diagonalization for a pair of Hermitian quaternion matrices and applications to color face recognition
ST Ling, YD Li, B Yang, ZG Jia - Signal Processing, 2022 - Elsevier
A new joint diagonalization algorithm for a pair of Hermitian quaternion matrices is derived
incorporating real structure-preserving strategy. The structure-preserving joint …
incorporating real structure-preserving strategy. The structure-preserving joint …
Optimizing beamforming in quaternion signal processing using projected gradient descent algorithm
Recent advances in quaternion signal processing have drawn attention to the Quaternion
Beamforming Problem (QBP). By leveraging appropriate relaxation techniques, QBP can be …
Beamforming Problem (QBP). By leveraging appropriate relaxation techniques, QBP can be …
A general framework for constrained convex quaternion optimization
This paper introduces a general framework for solving constrained convex quaternion
optimization problems in the quaternion domain. To soundly derive these new results, the …
optimization problems in the quaternion domain. To soundly derive these new results, the …
Compressive spectrum sensing using blind-block orthogonal least squares in cognitive sensor networks
In cognitive sensor networks (CSNs), compressive spectrum sensing (CSS) has been shown
as a promising candidate for improving the recovery performance based on the signal …
as a promising candidate for improving the recovery performance based on the signal …
Low-rank tensor decompositions for quaternion multiway arrays
Quaternion multiway arrays appear naturally as compact representations of 3D or 4D
multidimensional signals. However, the non-commutativity of quaternion multiplication …
multidimensional signals. However, the non-commutativity of quaternion multiplication …
Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters
The Cramér-Rao lower bound (CRLB) is a fundamental result in statistical signal
processing, however, the CRLB for quaternion parameters is not yet established. To this …
processing, however, the CRLB for quaternion parameters is not yet established. To this …
Wavelet-based spatiotemporal sparse quaternion dictionary learning for reconstruction of multi-channel vibration data
Q Li - Applied Soft Computing, 2024 - Elsevier
Accurate reconstruction of multi-source data information plays an essential role in remote
intelligent operation, and prognostic and health maintenance (RIO-PHM) of industrial …
intelligent operation, and prognostic and health maintenance (RIO-PHM) of industrial …