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Channel Smoothing using Integer Arithmetic

Per-Erik Forssén
SSAB03, Stockholm
Proceedings SSAB03 Symposium on Image Analysis
March 2003

Abstract

This paper presents experiments on using integer arithmetic with the channel representation. Integer arithmetic allows reduction of memory requirements, and allows efficient implementations using machine code vector instructions, integer-only CPUs, or dedicated programmable hardware such as FPGAs possible. We demonstrate the effects of discretisation on a non-iterative robust estimation technique called channel smoothing, but the results are also valid for other applications.

Full Paper

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Bibtex entry

@inproceedings{pf03,
  author = 	 {Per-Erik Forss\'en},
  title = 	 {Channel Smoothing using Integer Arithmetic},
  booktitle = 	 {Proceedings {SSAB03} {S}ymposium on {I}mage {A}nalysis},
  year = 	 {2003},
  address = 	 {Stockholm},
  month = 	 {March},
  organization = {SSAB}
}

Per-Erik Forssén
 

Per-Erik Forssén

Contact:

Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654

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Informationsansvarig: Per-Erik Forss&eacute;n
Senast uppdaterad: 2023-09-06