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Proceedings Paper

Fast on-chip mean filter requiring only integer operations
Author(s): Bhargab B. Bhattacharya; Arindam Biswas; Partha Bhowmick; Tinku Acharya
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Paper Abstract

This paper presents a novel formulation of the classical mean filtering, which has been shown to stem from the theory of continued fractions as well as from the rules of binomial expansion. Such an alternative formulation of mean filtering is marked by its sufficiency of only a few primitive operations, namely binary shifts and addition (subtraction), in the integer domain. Subsequently, the resultant process of smoothing a digital image using the mean filter is devoid of any floating-point computation, and can be implemented by a simple hardware, thereof. In addition, the formulation has the ability of yielding an approximate solution using fewer operations, which can bring the hardware cost further down. We have tested our method for various images, and have reported some relevant results to demonstrate its elegance, versatility, and effectiveness, specially when an approximate solution is called for.

Paper Details

Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682217 (28 January 2008); doi: 10.1117/12.776602
Show Author Affiliations
Bhargab B. Bhattacharya, Indian Statistical Institute (India)
Arindam Biswas, Bengal Engineering and Science Univ. (India)
Partha Bhowmick, Bengal Engineering and Science Univ. (India)
Tinku Acharya, Avisere Inc. (United States)

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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