Compressive Sensing Theory for Optical Systems Described by a Continuous Model
Albert Fannjiang

TL;DR
This paper surveys the application of compressive sensing techniques to continuous imaging models in optical systems, highlighting theoretical foundations and practical implications.
Contribution
It provides a comprehensive overview of how compressive sensing is applied to continuous optical imaging models, emphasizing recent advances and challenges.
Findings
Enhanced imaging resolution through compressive sensing
Reduced data acquisition requirements in optical systems
Improved reconstruction algorithms for continuous models
Abstract
A brief survey of the author and collaborators' work in compressive sensing applications to continuous imaging models.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSparse and Compressive Sensing Techniques · Photoacoustic and Ultrasonic Imaging · Random lasers and scattering media
