50 citations · 77 across the 11 of their papers we have counts for
11 papers
Image Denoising Using Global and Local Circulant Representation
Zhaoming Kong, Xiaowei Yang, Jiahuan Zhang
The proliferation of imaging devices and countless image data generated every day impose an increasingly high demand on efficient and effective image denoising. In this paper, we e…
Efficient Image Denoising Using Global and Local Circulant Representation
Zhaoming Kong, Jiahuan Zhang, Xiaowei Yang
The advancement of imaging devices and countless image data generated everyday impose an increasingly high demand on efficient and effective image denoising. In this paper, we pres…
Image Denoising Using Green Channel Prior
Zhaoming Kong, Fangxi Deng, Xiaowei Yang
Image denoising is an appealing and challenging task, in that noise statistics of real-world observations may vary with local image contents and different image channels. Specifica…
Color Image Denoising Using The Green Channel Prior
Zhaoming Kong, Xiaowei Yang
Noise removal in the standard RGB (sRGB) space remains a challenging task, in that the noise statistics of real-world images can be different in R, G and B channels. In fact, the g…
A Comparison of Image Denoising Methods
Zhaoming Kong, Fangxi Deng, Haomin Zhuang +3
The advancement of imaging devices and countless images generated everyday pose an increasingly high demand on image denoising, which still remains a challenging task in terms of b…
Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis
Jun Yu, Zhaoming Kong, Liang Zhan +2
The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) associated with brain changes remains a challenging task. Recent studies have demonstrated that combi…
Structure-Preserving Graph Kernel for Brain Network Classification
Jun Yu, Zhaoming Kong, Aditya Kendre +5
This paper presents a novel graph-based kernel learning approach for connectome analysis. Specifically, we demonstrate how to leverage the naturally available structure within the…
Multiplex Graph Networks for Multimodal Brain Network Analysis
Zhaoming Kong, Lichao Sun, Hao Peng +3
In this paper, we propose MGNet, a simple and effective multiplex graph convolutional network (GCN) model for multimodal brain network analysis. The proposed method integrates tens…
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods
Zhaoming Kong, Xiaowei Yang, Lifang He
Filtering multi-dimensional images such as color images, color videos, multispectral images and magnetic resonance images is challenging in terms of both effectiveness and efficien…
Color Image and Multispectral Image Denoising Using Block Diagonal Representation
Zhaoming Kong, Xiaowei Yang
Filtering images of more than one channel is challenging in terms of both efficiency and effectiveness. By grouping similar patches to utilize the self-similarity and sparse linear…
A Brief Review of Real-World Color Image Denoising
Zhaoming Kong, Xiaowei Yang
Filtering real-world color images is challenging due to the complexity of noise that can not be formulated as a certain distribution. However, the rapid development of camera lens…