Efficient patch-based approach for compressive depth imaging

Xin Yuan, Xuejun Liao, Patrick Llull, David Brady, Lawrence Carin

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

We present efficient camera hardware and algorithms to capture images with extended depth of field. The camera moves its focal plane via a liquid lens and modulates the scene at different focal planes by shifting a fixed binary mask, with synchronization achieved by using the same triangular wave to control the focal plane and the pizeoelectronic translator that shifts the mask. Efficient algorithms are developed to reconstruct the all-in-focus image and the depth map from a single coded exposure, and various sparsity priors are investigated to enhance the reconstruction, including group sparsity, tree structure, and dictionary learning. The algorithms naturally admit a parallel computational structure due to the independent patch-level operations. Experimental results on both simulation and real datasets demonstrate the efficacy of the new hardware and the inversion algorithms.
Original languageEnglish (US)
Pages (from-to)7556-7564
Number of pages9
JournalApplied Optics
Volume55
Issue number27
DOIs
StatePublished - Sep 20 2016
Externally publishedYes

Fingerprint

Dive into the research topics of 'Efficient patch-based approach for compressive depth imaging'. Together they form a unique fingerprint.

Cite this