Modified fastica algorithm for separation of mixed images

Author

Karsh, Ram Kumar ; Laskar, Rabul Hussain ; Roy, Sandip

Author_Institution

Dept. of Electron. & Commun. Eng., NIT Silchar, Silchar, India

fYear

2014

fDate

26-28 Sept. 2014

Firstpage

381

Lastpage

385

Abstract

We proposed a novel fast algorithm for Independent Component Analysis using a Non-Linear function which can be used for Blind Source Separation and finding performance parameters of fused images. Practical simulation shows that proposed non-linear function is able to give improved quality separated image. Increase in signal-to-noise ratio and reduction in RMSE and Amari error proves the enhancement in quality of separated image. We are also able to calculate execution time of the algorithm.

Keywords

blind source separation; image fusion; image segmentation; independent component analysis; mean square error methods; Amari error; RMSE; blind source separation; fastICA algorithm; independent component analysis; mixed images separation; nonlinear function; signal-to-noise ratio; Algorithm design and analysis; Blind source separation; Image reconstruction; Independent component analysis; Signal processing algorithms; Signal to noise ratio; Vectors; Blind Source Separation; FastICA Algorithm; Independent Component Analysis; Non-Linearity Function and Signal-to-Noise Ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Communication Technology (ICCCT), 2014 International Conference on

Conference_Location

Allahabad

Print_ISBN

978-1-4799-6757-5

Type

conf

DOI

10.1109/ICCCT.2014.7001522

Filename

7001522