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 weighted Schatten p-norm minimization for color image restoration with convergence guarantee
Over the past decades, the rank approximation issue have been extensively investigated,
among which weighted nuclear norm minimization (WNNM) and weighted Schatten p-norm …
among which weighted nuclear norm minimization (WNNM) and weighted Schatten p-norm …
A theoretically guaranteed quaternion weighted schatten p-norm minimization method for color image restoration
QH Zhang, LT He, YL Wang, LJ Deng, J Liu - arXiv preprint arXiv …, 2023 - arxiv.org
Inspired by the fact that the matrix formulated by nonlocal similar patches in a natural image
is of low rank, the rank approximation issue have been extensively investigated over the …
is of low rank, the rank approximation issue have been extensively investigated over the …
Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization
As a fundamental task, medical image reconstruction has attracted growing attention in
clinical diagnosis. Aiming at promising performance, it is critical to deeply understand and …
clinical diagnosis. Aiming at promising performance, it is critical to deeply understand and …
Quaternion-based Deep Image Prior with Regularization by Denoising for Color Image Restoration
Q Zhang, L He, S Gao, L Deng, J Liu - 2024 - researchsquare.com
Deep image prior (DIP) has demonstrated remarkable efficacy in addressing various
imaging inverse problems by capitalizing on the inherent biases of deep convolutional …
imaging inverse problems by capitalizing on the inherent biases of deep convolutional …