Medical Image Enhancement Method Based on Wavelet Transform and Mode Decomposition

Author:

Dong Ao Shuang1,Lou Bin Bin1,Jiang Hui Yan1,Tong Qiang1,Yang Guang Ming2,Gao Tian Han1,Yang Ben Qiang3,Zhang Li Bo3

Affiliation:

1. Northeastern University

2. Software College, Northeastern University, Shenyang

3. PLA General Hospital of Shenyang Military Region

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.

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Medical Image Enhancement Algorithm Based on Histogram Equalization and Dyadic Wavelet Transform;Proceedings of the 2020 3rd International Conference on Computer Science and Software Engineering;2020-05-22

2. A knowledge-based image enhancement and denoising approach;Computational and Mathematical Organization Theory;2018-05-22

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