Block-wise Lensless Compressive Camera
Xin Yuan, Gang Huang, Hong Jiang, Paul Wilford

TL;DR
This paper introduces a block-wise lensless compressive camera that improves capture speed, resolution, and reconstruction efficiency by using local sensing patches, enabling ultra high-resolution imaging with faster processing.
Contribution
It proposes a novel block-based compressive sensing approach for lensless cameras, significantly enhancing speed, resolution, and computational efficiency over traditional global methods.
Findings
Reduced capture time due to small block measurements (~10 per block)
Faster reconstruction enabled by shared coding patterns and smaller sensing matrices
Successful prototype demonstrations with high-resolution real data
Abstract
The existing lensless compressive camera ()~\cite{Huang13ICIP} suffers from low capture rates, resulting in low resolution images when acquired over a short time. In this work, we propose a new regime to mitigate these drawbacks. We replace the global-based compressive sensing used in the existing by the local block (patch) based compressive sensing. We use a single sensor for each block, rather than for the entire image, thus forming a multiple but spatially parallel sensor . This new camera retains the advantages of existing while leading to the following additional benefits: 1) Since each block can be very small, {\em e.g.} pixels, we only need to capture measurements to achieve reasonable reconstruction. Therefore the capture time can be reduced significantly. 2) The…
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 · Random lasers and scattering media · Advanced Image and Video Retrieval Techniques
