A Switchable Light Field Camera Architecture with Angle Sensitive Pixels and Dictionary-based Sparse Coding

被引：0

作者：

Hirsch, Matthew ^{[1
]}

Sivaramakrishnan, Sriram ^{[2
]}

Jayasuriya, Suren ^{[2
]}

Wang, Albert ^{[2
]}

Molnar, Alyosha ^{[2
]}

Raskar, Ramesh ^{[1
]}

Wetzstein, Gordon ^{[1
]}

机构：

[1] MIT, Media Lab, Cambridge, MA 02139 USA

[2] Cornell Univ, Ithaca, NY USA

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP) | 2014年

关键词：

PHOTOGRAPHY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose a flexible light field camera architecture that is at the convergence of optics, sensor electronics, and applied mathematics. Through the co-design of a sensor that comprises tailored, Angle Sensitive Pixels and advanced reconstruction algorithms, we show that-contrary to light field cameras today-our system can use the same measurements captured in a single sensor image to recover either a high-resolution 2D image, a low-resolution 4D light field using fast, linear processing, or a high-resolution light field using sparsity-constrained optimization.

引用

页数：10

共 18 条

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