An Approach on Hardware Design for Computational Photography Applications Based on Light Field Refocusing Algorithm

Report
Authors:Meng, Jiayuan, Department of Computer ScienceUniversity of Virginia Weikle, Dee, Department of Computer ScienceUniversity of Virginia Humphreys, Greg, Department of Computer ScienceUniversity of Virginia Skadron, Kevin, Department of Computer ScienceUniversity of Virginia
Abstract:

This paper describes the performance analysis of the light field refocusing algorithm running on different hardware specifications, including the Intel Pentium 4, SSE2(Streaming SIMD Extensions), GPU, and also Cell Broadband Engine. The hardware chosen has unique features, making it interesting to compare their performance on such an application with each other, and how much advantage or disadvantage each one has over others. By doing so, we attempt to clarify the pros and cons of each hardware design in its capability of handling computational intensive image processing applications. The execution time is used as the main metric.

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

Meng, Jiayuan, Dee Weikle, Greg Humphreys, and Kevin Skadron. "An Approach on Hardware Design for Computational Photography Applications Based on Light Field Refocusing Algorithm." University of Virginia Dept. of Computer Science Tech Report (2007).

Publisher:
University of Virginia, Department of Computer Science
Published Date:
2007