Novel method of Euclidean distance calculation for bilateral filtering based on CMOS sensor noise profiles

Radu Gheorghe; Milivoje Aleksic; Maxim Smirnov

doi:10.1117/12.760700

12 March 2008 Novel method of Euclidean distance calculation for bilateral filtering based on CMOS sensor noise profiles

Radu Gheorghe, Milivoje Aleksic, Maxim Smirnov

Author Affiliations +

Proceedings Volume 6817, Digital Photography IV; 681708 (2008) https://doi.org/10.1117/12.760700
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Radu Gheorghe, Milivoje Aleksic, and Maxim Smirnov "Novel method of Euclidean distance calculation for bilateral filtering based on CMOS sensor noise profiles", Proc. SPIE 6817, Digital Photography IV, 681708 (12 March 2008); https://doi.org/10.1117/12.760700

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