A Self-adaptive Brain Image Enhancement Algorithm Based on Wavelet Transform

Author

Jinzhu, Yang ; Shuying, Zhao ; Liying, Cheng ; Ying, Hu ; Guojun, Su ; Xinhe, Xu

Author_Institution

Inst. of AI & Robotics, Northeastern Univ., Shenyang

fYear

2005

fDate

16-19 March 2005

Firstpage

41

Lastpage

44

Abstract

Taking account of the features of medical images and actual requirements, wavelet analysis and unsharp masking algorithm are combined to solve some problems, such as enhancement of noise and losing details, which appeared by using the common methods of image enhancement. Based on the features of wavelet different scale analysis, an algorithm which can get the self-adaptive threshold value is proposed in this paper. Processing the different scale images, it can enhance image. The experiment shows the method can effectively enhance the image details, preserve the image edge, and improve the visual effect of the image

Keywords

adaptive signal processing; brain; image enhancement; medical computing; medical image processing; wavelet transforms; image edge preservation; image enhancement; medical images; self-adaptive brain image enhancement; self-adaptive threshold; unsharp masking algorithm; visual effect; wavelet analysis; wavelet different scale analysis; wavelet transform; Algorithm design and analysis; Biomedical imaging; Brain; Frequency; Image analysis; Image enhancement; Robotics and automation; Wavelet analysis; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-8710-4

Type

conf

DOI

10.1109/CNE.2005.1419546

Filename

1419546