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 …

Low-rank matrix approximation (LRMA)-based methods have made a great success for
grayscale image processing. When handling color images, LRMA either restores each color …

The fixed-time synchronization and preassigned-time synchronization of quaternion-valued
neural networks are concerned in this article. By developing fixed-time stability and …

In this paper, we investigate the global stability of quaternion-valued neural networks
(QVNNs) with time-varying delays. On one hand, in order to avoid the noncommutativity of …

In this paper, without transforming the quaternion-valued neural networks into two
equivalent complex-valued systems or four equivalent real-valued systems, a novel class of …

In this paper, a new type of neural networks, quaternion-valued memristive neural networks
(QVMNNs) is formulated. On the basis of the differential inclusion principle and the …

Collaborative representation is an effective way to design classifiers for many practical
applications. In this paper, we propose a novel classifier, called the prior knowledge-based …

The performance of many state-of-the-art deep face recognition models deteriorates
significantly for images captured under low illumination, mainly because the features of dim …

Multimodal biometrics recognition has recently attracted much interest for its higher security
and effectiveness compared with unimodal biometrics recognition. However, most of the …

Benefited from quaternion representation that is able to encode the cross-channel
correlation of color images, quaternion principle component analysis (QPCA) was proposed …