Divide and conquer: parallel processing in computational imaging
Publication
, Journal Article
Brady, DJ
Published in: Advanced Photonics
September 1, 2025
Parallel processing in array cameras enables improvements in field of view, depth of field as well as color and polarization sampling. A recent study by Zhang et al. expands on this theme with the demonstration of SpeedShot, which uses a small camera array to improve temporal sensitivity. Here we review the context in which SpeedShot was developed and consider the roadmap for continued improvements in parallel camera systems.
Duke Scholars
Published In
Advanced Photonics
DOI
EISSN
2577-5421
Publication Date
September 1, 2025
Volume
7
Issue
5
Related Subject Headings
- 5102 Atomic, molecular and optical physics
Citation
APA
Chicago
ICMJE
MLA
NLM
Brady, D. J. (2025). Divide and conquer: parallel processing in computational imaging. Advanced Photonics, 7(5). https://doi.org/10.1117/1.AP.7.5.050502
Brady, D. J. “Divide and conquer: parallel processing in computational imaging.” Advanced Photonics 7, no. 5 (September 1, 2025). https://doi.org/10.1117/1.AP.7.5.050502.
Brady DJ. Divide and conquer: parallel processing in computational imaging. Advanced Photonics. 2025 Sep 1;7(5).
Brady, D. J. “Divide and conquer: parallel processing in computational imaging.” Advanced Photonics, vol. 7, no. 5, Sept. 2025. Scopus, doi:10.1117/1.AP.7.5.050502.
Brady DJ. Divide and conquer: parallel processing in computational imaging. Advanced Photonics. 2025 Sep 1;7(5).
Published In
Advanced Photonics
DOI
EISSN
2577-5421
Publication Date
September 1, 2025
Volume
7
Issue
5
Related Subject Headings
- 5102 Atomic, molecular and optical physics