Feasibility study for compressive multi-dimensional integral imaging
Optics Express (Impact Factor: 3.49). 02/2013; 21(4):4263-4279. DOI: 10.1364/OE.21.004263
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.
Conference Paper: Multi-dimensional imaging using compressive sensing[Show abstract] [Hide abstract]
ABSTRACT: We have proposed and demonstrated multiple frameworks to acquire multi-dimensional optical information, containing three-dimensional positions, spectrums, polarizations, etc., with a single-shot based on compressive sensing. This paper describes an overview of these frameworks.Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2013 Conference on; 01/2013
Conference Paper: 3D imaging and visualization: An overview of recent advances[Show abstract] [Hide abstract]
ABSTRACT: This paper presents an overview of our published work on physical principles, applications, and advances in integral imaging and digital holography. Various approaches for image capture, image reconstruction, and 3D display methods are overviewed. Applications including 3D underwater imaging, 3D imaging in photon-starved environments, 3D tracking of occluded objects, 3D optical microscopy, and 3D polarimetric imaging are reviewed.Information Optics (WIO), 2013 12th Workshop on; 01/2013
- [Show abstract] [Hide abstract]
ABSTRACT: In this keynote address paper, we present an overview of our previously published work on using compressive sensing in multi-dimensional imaging. We shall examine a variety of multi dimensional imaging approaches and applications, including 3D multi modal imaging integrated with polarimetric and multi spectral imaging, integral imaging and digital holography. This Keynote Address paper is an overview of our previously reported work on 3D imaging with compressive sensing.Proceedings of SPIE - The International Society for Optical Engineering 10/2013; 8899:04-. DOI:10.1117/12.2034426 · 0.20 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.