The Bi-Dimensional Bedrosian’s Principle for Image Decomposition

Abstract:

Based on the derived bi-dimensional Bedrosian’s principles and the original multicomponents, we provide the combined bi-dimensional Bedrosian’s principle so that the monocomponents in multicomponents can be separated in the case that the existent methods fail. The proposed method can solve the problems caused by the cross-angle and amplitude ratio and frequency ratio and so on between these components that BEMD fails to solve. Experiments support the proposed methods.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 3854-3858
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.3854
• Online since: August 2014
• Authors: Guan Lei Xu*, Xiao Tong Wang, Xiao Gang Xu, Jiang Hu, Bin Yu Li
• Keywords: Bedrosian’s Principle, Hilbert Transform (HT), Image Decomposition

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