Coded aperture compressive temporal imaging
Patrick Llull, Xuejun Liao, Xin Yuan, Jianbo Yang, David Kittle, Lawrence Carin, Guillermo Sapiro, David J. Brady
arXiv:1302.2575v1404 citations
AI Analysis
This addresses video imaging efficiency for applications like surveillance or scientific observation, but appears incremental as it builds on existing compressive sensing techniques.
The paper tackled video compression by using mechanical translation of a coded aperture for code division multiple access, achieving reconstruction at 148 frames per coded snapshot.
We use mechanical translation of a coded aperture for code division multiple access compression of video. We present experimental results for reconstruction at 148 frames per coded snapshot.