title: Feasibility study for compressive multi-dimensional integral imaging.
abstract: This paper describes a generalized framework for single-exposure acquisition of multi-dimensional scene information using integral imaging system based on compressive sensing. In the proposed system, a multi-dimensional scene containing a plurality of information such as 3D coordinates, spectral and polarimetric data is captured by integral imaging optics. The image sensor uses pixel-wise filtering elements arranged randomly. The multi-dimensional original object is reconstructed using an algorithm with a sparsity constraint. The proposed system is demonstrated with simulations and feasible optical experiments based on synthetic aperture integral imaging using multi-dimensional objects including 3D coordinates, spectral, and polarimetric information.
authors.affiliation: Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan. r.horisaki@ist.osaka-u.ac.jp
authors.forename: Ryoichi
authors.initials: R
authors.lastname: Horisaki
authors.forename: Xiao
authors.initials: X
authors.lastname: Xiao
authors.forename: Jun
authors.initials: J
authors.lastname: Tanida
authors.forename: Bahram
authors.initials: B
authors.lastname: Javidi
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005240:Feasibility Studies; D007089:Image Enhancement / Q000295:instrumentation*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation*; D007909:Lenses; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*