271 citations · 1.3k across the 60 of their papers we have counts for
10 papers · 1 filter
Mixed Graph Signal Analysis of Joint Image Denoising / Interpolation
Niruhan Viswarupan, Gene Cheung, Fengbo Lan +1
A noise-corrupted image often requires interpolation. Given a linear denoiser and a linear interpolator, when should the operations be independently executed in separate steps, and…
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer
Yeganeh Gharedaghi, Gene Cheung, Xianming Liu
Images captured in poorly lit conditions are often corrupted by acquisition noise. Leveraging recent advances in graph-based regularization, we propose a fast Retinex-based restora…
Hybrid Model-based / Data-driven Graph Transform for Image Coding
Saghar Bagheri, Tam Thuc Do, Gene Cheung +1
Transform coding to sparsify signal representations remains crucial in an image compression pipeline. While the Karhunen-Loève transform (KLT) computed from an empirical covariance…
Pre-demosaic Graph-based Light Field Image Compression
Yung-Hsuan Chao, Haoran Hong, Gene Cheung +1
An unfocused plenoptic light field (LF) camera places an array of microlenses in front of an image sensor in order to separately capture different directional rays arriving at an i…
Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer
Fei Chen, Gene Cheung, Xue Zhang
In the graph signal processing (GSP) literature, it has been shown that signal-dependent graph Laplacian regularizer (GLR) can efficiently promote piecewise constant (PWC) signal r…
Joint Demosaicking / Rectification of Fisheye Camera Images using Multi-color Graph Laplacian Regularization
Fengbo Lan, Cheng Yang, Gene Cheung +1
To compose a 360 image from a rig with multiple fisheye cameras, a conventional processing pipeline first performs demosaicking on each fisheye camera's Bayer-patterned grid, then…
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements
Xue Zhang, Gene Cheung, Jiahao Pang +1
A 3D point cloud is often synthesized from depth measurements collected by sensors at different viewpoints. The acquired measurements are typically both coarse in precision and cor…
Graph Neural Net using Analytical Graph Filters and Topology Optimization for Image Denoising
Weng-tai Su, Gene Cheung, Richard Wildes +1
While convolutional neural nets (CNNs) have achieved remarkable performance for a wide range of inverse imaging applications, the filter coefficients are computed in a purely data-…
Non-Local Graph-Based Prediction For Reversible Data Hiding In Images
Qi Chang, Gene Cheung, Yao Zhao +2
Reversible data hiding (RDH) is desirable in applications where both the hidden message and the cover medium need to be recovered without loss. Among many RDH approaches is predict…
Graph Spectral Image Processing
Gene Cheung, Enrico Magli, Yuichi Tanaka +1
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wi…