129 citations · 511 across the 26 of their papers we have counts for
6 papers · 1 filter
Edge Adaptive Hybrid Regularization Model For Image Deblurring
Tingting Zhang, Jie Chen, Caiying Wu +3
The parameter selection is crucial to regularization based image restoration methods. Generally speaking, a spatially fixed parameter for regularization item in the whole image doe…
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution
Jing Jin, Junhui Hou, Zhiyu Zhu +2
Light field (LF) images acquired by hand-held devices usually suffer from low spatial resolution as the limited detector resolution has to be shared with the angular dimension. LF…
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…
Online Graph-Based Change Point Detection in Multiband Image Sequences
Ricardo Augusto Borsoi, Cédric Richard, André Ferrari +2
The automatic detection of changes or anomalies between multispectral and hyperspectral images collected at different time instants is an active and challenging research topic. To…
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…
Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Jing Jin, Junhui Hou, Jie Chen +1
Light field (LF) images acquired by hand-held devices usually suffer from low spatial resolution as the limited sampling resources have to be shared with the angular dimension. LF…