Paper
28 January 2008 Fast on-chip mean filter requiring only integer operations
Bhargab B. Bhattacharya, Arindam Biswas, Partha Bhowmick, Tinku Acharya
Author Affiliations +
Proceedings Volume 6822, Visual Communications and Image Processing 2008; 682217 (2008) https://doi.org/10.1117/12.776602
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhargab B. Bhattacharya, Arindam Biswas, Partha Bhowmick, and Tinku Acharya "Fast on-chip mean filter requiring only integer operations", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682217 (28 January 2008); https://doi.org/10.1117/12.776602
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KEYWORDS
Image filtering

Digital filtering

Binary data

Digital imaging

Image processing

Digital image processing

Optimal filtering

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