Medical Image Enhancement Method Based on 2D Empirical Mode Decomposition

Author

Qin, Xujia ; Liu, Shishuang ; Wu Zhengqiang ; Jun Han

Author_Institution

Coll. of Software, Zhejiang Univ. of Technol., Hangzhou

fYear

2008

Firstpage

2533

Lastpage

2536

Abstract

Image Enhancement takes important part in medical image processing. In this paper, a new image enhancement method for medical images based on 2D empirical mode decomposition (EMD) is proposed. Firstly, we decompose the image into low-frequency information and high-frequency information by 2D EMD. Then expand the high-frequency part. Finally add the expanded high-frequency information with the low-frequency information and enhanced image is obtained. Experiments show that good results are obtained by using the proposed method.

Keywords

biomedical imaging; grey systems; image enhancement; medical image processing; modal analysis; transforms; 2D empirical mode decomposition; grey transformation; high-frequency information; low-frequency information; medical image enhancement method; Biomedical image processing; Biomedical imaging; Educational institutions; Histograms; Image analysis; Image enhancement; Information entropy; Medical diagnostic imaging; Piecewise linear techniques; Probability distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1747-6

Electronic_ISBN

978-1-4244-1748-3

Type

conf

DOI

10.1109/ICBBE.2008.967

Filename

4535847