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 …
The -(anti-)Hermitian solution to a constrained Sylvester-type generalized commutative quaternion matrix equation
XY Chen, QW Wang - Banach Journal of Mathematical Analysis, 2023 - Springer
We present some practical necessary and sufficient conditions for the existence of an η-(anti-
) Hermitian solution to a constrained Sylvester-type generalized commutative quaternion …
) Hermitian solution to a constrained Sylvester-type generalized commutative quaternion …
Robust low-rank latent feature analysis for spatiotemporal signal recovery
Wireless sensor network (WSN) is an emerging and promising developing area in the
intelligent sensing field. Due to various factors like sudden sensors breakdown or saving …
intelligent sensing field. Due to various factors like sudden sensors breakdown or saving …
The Hermitian solution to a new system of commutative quaternion matrix equations
Y Zhang, QW Wang, LM Xie - Symmetry, 2024 - mdpi.com
This paper considers the Hermitian solutions of a new system of commutative quaternion
matrix equations, where we establish both necessary and sufficient conditions for the …
matrix equations, where we establish both necessary and sufficient conditions for the …
Color image inpainting via robust pure quaternion matrix completion: Error bound and weighted loss
In this paper, we study color image inpainting as a pure quaternion matrix completion
problem. In the literature, the theoretical guarantee for quaternion matrix completion is not …
problem. In the literature, the theoretical guarantee for quaternion matrix completion is not …
Deep and low-rank quaternion priors for color image processing
T Xu, X Kong, Q Shen, Y Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the physical nature of color images, color image processing such as denoising and
inpainting has shown extensive and versatile possibilities over grayscale image processing …
inpainting has shown extensive and versatile possibilities over grayscale image processing …
Development of secrete images in image transferring system
This paper addresses a model to secrete the information of one image under another
without losing quality of image. Different approaches have been utilized for image hiding as …
without losing quality of image. Different approaches have been utilized for image hiding as …
Hypercomplex context guided interaction modeling for scene graph generation
Intuitively, humans can consciously and subjectively attend to the interactions between
objects, and thus infer reasonable visual relations. However, mainstream approaches of …
objects, and thus infer reasonable visual relations. However, mainstream approaches of …
On the Partial Convexification of the Low-Rank Spectral Optimization: Rank Bounds and Algorithms
Abstract A Low-rank Spectral Optimization Problem (LSOP) minimizes a linear objective
function subject to multiple two-sided linear inequalities intersected with a low-rank and …
function subject to multiple two-sided linear inequalities intersected with a low-rank and …
Image segmentation based on fuzzy low-rank structural clustering
Fuzzy clustering is an essential algorithm in image segmentation, and most of them are
based on fuzzy c-mean algorithms. However, it is sensitive to noise, center point selection …
based on fuzzy c-mean algorithms. However, it is sensitive to noise, center point selection …