221 citations · 260 across the 20 of their papers we have counts for
9 papers · 1 filter
UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation
Runzhao Yang, Yinda Chen, Zhihong Zhang +6
In the field of medical image compression, Implicit Neural Representation (INR) networks have shown remarkable versatility due to their flexible compression ratios, yet they are co…
Event-Enhanced Snapshot Compressive Videography at 10K FPS
Bo Zhang, Jinli Suo, Qionghai Dai
Video snapshot compressive imaging (SCI) encodes the target dynamic scene compactly into a snapshot and reconstructs its high-speed frame sequence afterward, greatly reducing the r…
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
Ruoran Li, Runzhao Yang, Wenxin Xiang +3
Functional Magnetic Resonance Imaging (fMRI) data is a widely used kind of four-dimensional biomedical data, which requires effective compression. However, fMRI compressing poses u…
10-mega pixel snapshot compressive imaging with a hybrid coded aperture
Zhihong Zhang, Chao Deng, Yang Liu +3
High resolution images are widely used in our daily life, whereas high-speed video capture is challenging due to the low frame rate of cameras working at the high resolution mode.…
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
Xiu Li, Jinli Suo, Weihang Zhang +2
High quality imaging usually requires bulky and expensive lenses to compensate geometric and chromatic aberrations. This poses high constraints on the optical hash or low cost appl…
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Xin Yuan, Yang Liu, Jinli Suo +2
We consider the reconstruction problem of video snapshot compressive imaging (SCI), which captures high-speed videos using a low-speed 2D sensor (detector). The underlying principl…