Block-wise Lensless Compressive Camera

摘要: The existing lensless compressive camera ($\text{L}^2\text{C}^2$)~\cite{Huang13ICIP} suffers from low capture rates, resulting in resolution images when acquired over a short time. In this work, we propose new regime to mitigate these drawbacks. We replace the global-based sensing used $\text{L}^2\text{C}^2$ by local block (patch) based sensing. use single sensor for each block, rather than entire image, thus forming multiple but spatially parallel $\text{L}^2\text{C}^2$. This retains advantages of while leading following additional benefits: 1) Since can be very small, {\em e.g.}$~8\times 8$ pixels, only need $\sim 10$ measurements achieve reasonable reconstruction. Therefore time reduced significantly. 2) coding patterns same, therefore matrix is size compared image saves memory requirement as well speeds up 3) Patch reconstruction fast and since real stitching algorithms exist, perform 4) These small blocks integrated any desirable number, ultra high retaining rate develop geometries block-wise paper. have built prototypes proposed demonstrated excellent results data.