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Proceedings Paper

Novel method of Euclidean distance calculation for bilateral filtering based on CMOS sensor noise profiles
Author(s): Radu Gheorghe; Milivoje Aleksic; Maxim Smirnov
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Paper Abstract

Bilateral filtering is an effective technique for reducing image noise while preserving edge content. The filter kernel is constructed based on two criteria of neighboring pixels, namely photometric resemblance and geometric proximity. The Euclidean distance is used as a metric for the photometric portion of the kernel in the classic definition of the filter. We illustrate in this paper a simplified method for calculating the Euclidean distance metric which reduces the computational complexity of the filter. Furthermore, we generalize the idea of bilateral filtering by linking the filter processing parameters to the noise profile of a CMOS image sensor and present a simple method for tuning the performance of the filter.

Paper Details

Date Published: 12 March 2008
PDF: 9 pages
Proc. SPIE 6817, Digital Photography IV, 681708 (12 March 2008); doi: 10.1117/12.760700
Show Author Affiliations
Radu Gheorghe, Advanced Micro Devices, Inc. (Canada)
Milivoje Aleksic, Advanced Micro Devices, Inc. (Canada)
Maxim Smirnov, Mentor Graphics Corp. (United States)


Published in SPIE Proceedings Vol. 6817:
Digital Photography IV
Jeffrey M. DiCarlo; Brian G. Rodricks, Editor(s)

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