Medical Image Enhancement Method Based on Wavelet Transform and Mode Decomposition

Abstract:

Traditional medical image enhancement method has some disadvantages. They can not significantly improve the medical image edge, texture and detailed information. Besides the enhancement effect is susceptible to interference noise information. This paper proposed enhancement algorithms combining bidimensional empirical mode decomposition and the wavelet edge enhancement method. The first step is using the method of bidimensional empirical mode decomposition to process medical image, achieve image information with different frequency. And then our method using wavelet transform to enhance different frequency image edge, texture information. Through the comparison of proposed method with the existing method, it has been verified the proposed method has a better effect in the detail enhancement of medical images.

• Periodical: Applied Mechanics and Materials (Volume 389)
• Pages: 930-935
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.389.930
• Online since: August 2013
• Authors: Ao Shuang Dong, Bin Bin Lou, Hui Yan Jiang, Qiang Tong, Guang Ming Yang, Tian Han Gao, Ben Qiang Yang, Li Bo Zhang
• Keywords: BEMD, Medical Image Enhancement, Wavelet Transform (WT)

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