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Time complexity of traditional vision algorithms on a block-based image processor (BLIP)

Maarten Slembrouck UGent, Michaël Heyvaert UGent, Dimitri Van Cauwelaert UGent, David Van Hamme UGent, Peter Veelaert UGent and Wilfried Philips UGent (2012) 2012 Sixth international conference on distributed smart cameras (ICDSC).
abstract
Generally, image processing algorithms are suitable for parallel execution. However, this has not yet been exploited in a feasible design. Instead of the common practice, where the pixels on the sensor and the processor arrays are mapped onto each other, we propose the idea to split the image into multiple blocks of pixels (of the same size) and map each of these blocks onto one processing element. This decreases the hardware consumption and the communication overhead between the processing elements. This paper describes the architecture of the processor (the block-based image processor, BLIP) and the feasibility of low-, mid- and high-level image processing algorithms on the proposed architecture.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
processor architecture, SIMD, vision algorithms, image processor
in
2012 Sixth international conference on distributed smart cameras (ICDSC)
article_number
12
pages
6 pages
publisher
IEEE
place of publication
New York, NY, USA
conference name
6th ACM/IEEE International conference on Distributed Smart Cameras (ICDSC 2012)
conference location
Hong Kong, PR China
conference start
2012-10-30
conference end
2012-11-02
Web of Science type
Proceedings Paper
Web of Science id
000319395400013
ISBN
9781450317726
project
IWT SBO-project 090057
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3047994
handle
http://hdl.handle.net/1854/LU-3047994
date created
2012-11-06 13:04:20
date last changed
2013-10-22 11:06:03
@inproceedings{3047994,
  abstract     = {Generally, image processing algorithms are suitable for parallel execution. However, this has not yet been exploited in a feasible design. Instead of the common practice, where the pixels on the sensor and the processor arrays are mapped onto each other, we propose the idea to split the image into multiple blocks of pixels (of the same size) and map each of these blocks onto one processing element. This decreases the hardware consumption and the communication overhead between the processing elements. This paper describes the architecture of the processor (the block-based image processor, BLIP) and the feasibility of low-, mid- and high-level image processing algorithms on the proposed architecture.},
  articleno    = {12},
  author       = {Slembrouck, Maarten and Heyvaert, Micha{\"e}l and Van Cauwelaert, Dimitri and Van Hamme, David and Veelaert, Peter and Philips, Wilfried},
  booktitle    = {2012 Sixth international conference on distributed smart cameras (ICDSC)},
  isbn         = {9781450317726},
  keyword      = {processor architecture,SIMD,vision algorithms,image processor},
  language     = {eng},
  location     = {Hong Kong, PR China},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Time complexity of traditional vision algorithms on a block-based image processor (BLIP)},
  year         = {2012},
}

Chicago
Slembrouck, Maarten, Michaël Heyvaert, Dimitri Van Cauwelaert, David Van Hamme, Peter Veelaert, and Wilfried Philips. 2012. “Time Complexity of Traditional Vision Algorithms on a Block-based Image Processor (BLIP).” In 2012 Sixth International Conference on Distributed Smart Cameras (ICDSC). New York, NY, USA: IEEE.
APA
Slembrouck, M., Heyvaert, M., Van Cauwelaert, D., Van Hamme, D., Veelaert, P., & Philips, W. (2012). Time complexity of traditional vision algorithms on a block-based image processor (BLIP). 2012 Sixth international conference on distributed smart cameras (ICDSC). Presented at the 6th ACM/IEEE International conference on Distributed Smart Cameras (ICDSC 2012), New York, NY, USA: IEEE.
Vancouver
1.
Slembrouck M, Heyvaert M, Van Cauwelaert D, Van Hamme D, Veelaert P, Philips W. Time complexity of traditional vision algorithms on a block-based image processor (BLIP). 2012 Sixth international conference on distributed smart cameras (ICDSC). New York, NY, USA: IEEE; 2012.
MLA
Slembrouck, Maarten, Michaël Heyvaert, Dimitri Van Cauwelaert, et al. “Time Complexity of Traditional Vision Algorithms on a Block-based Image Processor (BLIP).” 2012 Sixth International Conference on Distributed Smart Cameras (ICDSC). New York, NY, USA: IEEE, 2012. Print.