Image Processing Techniques and Application of Bilateral Filter Keeping Margin Random Noise Suppression

Abstract:

Aiming at image denoising problem, some researchers put forward bilateral filtering algorithm. The algorithm makes weighting for spatial distance and pixel intensity difference. It introduces pixel weighting kernel function on the Gaussian locality smoothing mode, which is more favorable to keep the image margin detail. This paper tries the new improvement on the foundation of bilateral filter technique. It adopts coherent values scanning to treat energy center corresponding apparent dip as smoothing discontinuous geologic body direction. The directivity dramatically reduces, and it is easy to be generalized to non-planar geometrical morphology lineup. And it adopts the method based on waveform self-adaption mode on coherent values estimation. The estimated depending on the time dip and coherent values property are more reliable and physical significance. When calculating pixel value similarity weight, it uses discontinuous geologic body direction sampling point mean or median to replace calculate point. It is much easier to suppress random noise and more effective to keep geologic feature.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 3434-3437
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.3434
• Online since: May 2014
• Authors: Feng Xu Hu*, Yu Hong Chen
• Keywords: Bilateral Filter, Coherent Value Scanning, Gaussian Locality Smoothing Filtering, Geologic Feature, Random Noise

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