1 citations · 1 across the 5 of their papers we have counts for
6 papers
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
Haijin Zeng, Kai Feng, Jiezhang Cao +5
Pixel binning based Quad sensors have emerged as a promising solution to overcome the hardware limitations of compact cameras in low-light imaging. However, binning results in lowe…
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising
Haijin Zeng, Shaoguang Huang, Yongyong Chen +2
Spatial-Spectral Total Variation (SSTV) can quantify local smoothness of image structures, so it is widely used in hyperspectral image (HSI) processing tasks. Essentially, SSTV ass…
Resolution based Feature Distillation for Cross Resolution Person Re-Identification
Asad Munir, Chengjin Lyu, Bart Goossens +2
Person re-identification (re-id) aims to retrieve images of same identities across different camera views. Resolution mismatch occurs due to varying distances between person of int…
Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization
Joris Roels, Jan Aelterman, Jonas De Vylder +3
Microscopy is one of the most essential imaging techniques in life sciences. High-quality images are required in order to solve (potentially life-saving) biomedical research proble…
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy
Joris Roels, Jonas De Vylder, Jan Aelterman +2
Biological membranes are one of the most basic structures and regions of interest in cell biology. In the study of membranes, segment extraction is a well-known and difficult probl…
Domain Adaptive Segmentation in Volume Electron Microscopy Imaging
Joris Roels, Julian Hennies, Yvan Saeys +2
In the last years, automated segmentation has become a necessary tool for volume electron microscopy (EM) imaging. So far, the best performing techniques have been largely based on…