Bilateral Filtering Algorithm Research Based on Improved Weight Values

Abstract:

In allusion to the problems that the traditional bilateral filtering algorithm is based on pixel level, the intensity similarity weight values may be disturbed by noises. a modified bilateral filtering algorithm is proposed, which uses wiener function to estimate the values of the centre pixels according to neighbor pixels, thus, noise interference on the weighted coefficient can be reduced. Furthermore, Gauss function is replaced by Geman-McClure (GM) function to improve denoising performance. The experimental results show that the proposed algorithm can get denoised image with higher subjective visual quality and objective evaluation index.

• Periodical: Applied Mechanics and Materials (Volumes 571-572)
• Pages: 705-710
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.571-572.705
• Online since: June 2014
• Authors: Qian Zhao*, Xiao Hua Wang, Duo Zhou
• Keywords: Bilateral Filter, Geman-McClure Function, Image De-Noising, Wiener Function

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