Blind Image Separation Based on an Optimized Fast Fixed Point Algorithm

Wei Yuan; Li Yi Zhang

doi:10.4028/www.scientific.net/AMR.756-759.3578

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Blind Image Separation Based on an Optimized Fast...

Blind Image Separation Based on an Optimized Fast Fixed Point Algorithm

Abstract:

An optimized fast fixed point algorithm based on modified Newton iteration method has been proposed. With good performance ofthe blind image separation, the optimized algorithm can improve the convergence speed greatly.We proposed a new adaptive enhancement parameter to enhance the separated images effectively. The experimental results demonstrate that the new algorithm is superior.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3578-3583

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3578

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Online since:

September 2013

Authors:

Wei Yuan, Li Yi Zhang

Keywords:

Fast Fixed Point Algorithm, Independent Component Analysis (ICA), Negentropy, Newton Iteration, Nongaussianity

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