Ehsan, Shoaib and Clark, Adrian F and Cheung, Wah M and Bais, Arjunsingh M and Menzat, Bayar I and Kanwal, Nadia and McDonald-Maier, Klaus (2014) Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine. In: 2011 Irish Machine Vision and Image Processing Conference (IMVIP), 2011-09-07 - 2011-09-09, Dublin.
|
Text
1510.05142.pdf - Accepted Version Download (121kB) | Preview |
Abstract
In embedded vision systems, parallel computation of the integral image presents several design challenges in terms of hardware resources, speed and power consumption. Although recursive equations significantly reduce the number of operations for computing the integral image, the required internal memory becomes prohibitively large for an embedded integral image computation engine for increasing image sizes. With the objective of achieving high-throughput with minimum hardware resources, this paper proposes a memory-efficient design strategy for a parallel embedded integral image computation engine. Results show that the design achieves nearly 35% reduction in memory for common HD video.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Notes: Machine Vision and Image Processing Conference (IMVIP), 2011 |
Uncontrolled Keywords: | cs.CV |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Elements |
Depositing User: | Elements |
Date Deposited: | 29 May 2013 08:41 |
Last Modified: | 15 Jan 2022 00:37 |
URI: | http://repository.essex.ac.uk/id/eprint/6196 |
Actions (login required)
![]() |
View Item |