Image Blind Separation Based on Adaptive Multi-Resolution Independent Component Analysis

Jing Hui Wang; Shu Gang Tang

doi:10.4028/www.scientific.net/AMR.586.365

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 586Image Blind Separation Based on Adaptive...

Image Blind Separation Based on Adaptive Multi-Resolution Independent Component Analysis

Abstract:

In this paper, a novel image blind separation using adaptive multi-resolution independent component analysis is presented.This method separates mixed images based on quadratic function. The quadratic function can be interpreted as the time-frequency function or time-scale function, or other. According to the signal characteristics, we can choose the frequency resolution or scale resolution. The argorithm extends the separate technology from one dimensional domain to two dimensional domain,and it’s implement by adaptive procedure. The experimental result showed the method can be effective separation of mixed images. And it shows that the method is feasible.

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Periodical:

Advanced Materials Research (Volume 586)

Pages:

365-369

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.586.365

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Online since:

November 2012

Authors:

Jing Hui Wang, Shu Gang Tang

Keywords:

Image, Independent Component Analysis (ICA), Mutil-Resolution

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