A novel method for image separation combining wavelet transform and ICA with reference

Author

Guojie Su ; Guanghui Xu

Author_Institution

Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China

fYear

2014

fDate

14-16 Oct. 2014

Firstpage

196

Lastpage

200

Abstract

In this paper, we propose a novel method for image separation combining wavelet transform and ICA with reference. For the sake of simplicity, we do not consider the influence of noise and named this new algorithm as Wavelet-ICA-R. First, three mixed images are obtained by mixing three original images together, utilized a randomly generated mixing matrix. Then, transform the reference signal and the mixed images from time domain to wavelet domain respectively. Finally, in the wavelet domain, exploit 1/16 of the high frequency reference information to extract the original images. Simulation results indicate that this algorithm shortens the calculated time by 60% on average than ICA with reference while exhibits a superior performance.

Keywords

image processing; independent component analysis; source separation; time-domain analysis; wavelet transforms; ICA; image extraction; image mixing matrix; image separation; independent component analysis; reference signal; time-domain analysis; wavelet transform; wavelet-ICA-R; Algorithm design and analysis; Blind source separation; Computational modeling; Correlation coefficient; Simulation; Wavelet transforms; ICA with reference; correlation coefficient; image separation; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2014 7th International Congress on

Conference_Location

Dalian

Type

conf

DOI

10.1109/CISP.2014.7003776

Filename

7003776