Space-time imaging
Publication
, Journal Article
Skowronek, J; Guzmán, F; Díaz, N; Vera, E; Brady, D
Published in: Handbook of Statistics
January 1, 2026
This chapter provides a survey of space-time imaging, focusing on the evolution from traditional frame-based video to modern computational imaging. It addresses the fundamental challenge of capturing high-dimensional dynamic scenes under the constraints of system and sensor bandwidth, and data volume. The discussion reviews video sensors, snapshot compressive video (SCV), and ultrafast imaging. Ultimately, the chapter highlights a fundamental shift toward the co-design of optics, electronics, and algorithms to efficiently sample the plenoptic function.
Duke Scholars
Published In
Handbook of Statistics
DOI
ISSN
0169-7161
Publication Date
January 1, 2026
Related Subject Headings
- Statistics & Probability
Citation
APA
Chicago
ICMJE
MLA
NLM
Skowronek, J., Guzmán, F., Díaz, N., Vera, E., & Brady, D. (2026). Space-time imaging. Handbook of Statistics. https://doi.org/10.1016/bs.host.2026.03.004
Skowronek, J., F. Guzmán, N. Díaz, E. Vera, and D. Brady. “Space-time imaging.” Handbook of Statistics, January 1, 2026. https://doi.org/10.1016/bs.host.2026.03.004.
Skowronek J, Guzmán F, Díaz N, Vera E, Brady D. Space-time imaging. Handbook of Statistics. 2026 Jan 1;
Skowronek, J., et al. “Space-time imaging.” Handbook of Statistics, Jan. 2026. Scopus, doi:10.1016/bs.host.2026.03.004.
Skowronek J, Guzmán F, Díaz N, Vera E, Brady D. Space-time imaging. Handbook of Statistics. 2026 Jan 1;
Published In
Handbook of Statistics
DOI
ISSN
0169-7161
Publication Date
January 1, 2026
Related Subject Headings
- Statistics & Probability