10 citations · 49 across the 23 of their papers we have counts for
8 papers · 1 filter
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
Zhiyu Zhu, Hui Liu, Junhui Hou +2
This paper investigates the problem of recovering hyperspectral (HS) images from single RGB images. To tackle such a severely ill-posed problem, we propose a physically-interpretab…
Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
Qi Liu, Hui Yuan, Raouf Hamzaoui +3
In rate-distortion optimization, the encoder settings are determined by maximizing a reconstruction quality measure subject to a constraint on the bit rate. One of the main challen…
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
Mantang Guo, Junhui Hou, Jing Jin +2
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decode…
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
Zhiyu Zhu, Junhui Hou, Jie Chen +2
This paper explores the problem of hyperspectral image (HSI) super-resolution that merges a low resolution HSI (LR-HSI) and a high resolution multispectral image (HR-MSI). The cros…
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…
Model-based Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
Qi Liu, Hui Yuan, Junhui Hou +2
Rate distortion optimization plays a very important role in image/video coding. But for 3D point cloud, this problem has not been investigated. In this paper, the rate and distorti…