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 …
Low-rank tensor train for tensor robust principal component analysis
Recently, tensor train rank, defined by a well-balanced matricization scheme, has been
shown the powerful capacity to capture the hidden correlations among different modes of a …
shown the powerful capacity to capture the hidden correlations among different modes of a …
Non-local robust quaternion matrix completion for large-scale color image and video inpainting
The image nonlocal self-similarity (NSS) prior refers to the fact that a local patch often has
many nonlocal similar patches to it across the image and has been widely applied in many …
many nonlocal similar patches to it across the image and has been widely applied in many …
Structure preserving quaternion generalized minimal residual method
The main aim of this paper is to develop the quaternion generalized minimal residual
method (QGMRES) for solving quaternion linear systems. Quaternion linear systems arise …
method (QGMRES) for solving quaternion linear systems. Quaternion linear systems arise …
Low-rank quaternion tensor completion for recovering color videos and images
J Miao, KI Kou, W Liu - Pattern Recognition, 2020 - Elsevier
Low-rank quaternion tensor completion method, a novel approach to recovery color videos
and images, is proposed in this paper. We respectively reconstruct a color image and a color …
and images, is proposed in this paper. We respectively reconstruct a color image and a color …
Quaternion matrix optimization: Motivation and analysis
L Qi, Z Luo, QW Wang, X Zhang - Journal of Optimization Theory and …, 2022 - Springer
The class of quaternion matrix optimization (QMO) problems, with quaternion matrices as
decision variables, has been widely used in color image processing and other engineering …
decision variables, has been widely used in color image processing and other engineering …
A method of segmenting apples based on gray-centered RGB color space
P Fan, G Lang, B Yan, X Lei, P Guo, Z Liu, F Yang - Remote Sensing, 2021 - mdpi.com
In recent years, many agriculture-related problems have been evaluated with the integration
of artificial intelligence techniques and remote sensing systems. The rapid and accurate …
of artificial intelligence techniques and remote sensing systems. The rapid and accurate …
Eigenvalues of quaternion tensors with applications to color video processing
This paper studies the eigenvalues of quaternion tensors and their applications. Firstly, we
investigate the definitions and properties of the left and right eigenvalues of the quaternion …
investigate the definitions and properties of the left and right eigenvalues of the quaternion …
A multichannel location-aware interaction network for visual classification
Fine-grained visual classification aims to identify images that belong to multiple
subcategories within the same category. This is a challenging task as there are only subtle …
subcategories within the same category. This is a challenging task as there are only subtle …
QRFODD: Quaternion Riesz fractional order directional derivative for color image edge detection
Edge detection is the prominent method to determine the discontinuities present in an
image. There exists an issue of loss of information and correlation during the extraction of …
image. There exists an issue of loss of information and correlation during the extraction of …