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Genetic Algorithm Processor for Image Noise Filtering Using Evolvable Hardware
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International Journal of Image Processing (IJIP)
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Volume:  4    Issue:  3
Pages:  192-286
Publication Date:   July 2010
ISSN (Online): 1985-2304
240 - 250
Published Date   
CSC Journals, Kuala Lumpur, Malaysia
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
KEYWORDS:   Reconfigurable hardware, Processing Elements, Genetic algorithm, Virtual Reconfigurable Circuit 
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General-purpose image filters lack the flexibility and adaptability of un-modeled noise types. On the contrary, evolutionary algorithm based filter architectures seem to be very promising due to their capability of providing solutions to hard design problems. Through this novel approach, it is made possible to have an image filter that can employ a completely different design style that is performed by an evolutionary algorithm. In this context, an evolutionary algorithm based filter is designed in this paper with the kernel or the whole circuit for automatically evolved. The Evolvable Hard Ware architecture proposed in this paper can evolve filters without a priori information. The proposed filter architecture considers spatial domain approach and uses the overlapping window to filter the signal. The approach that is chosen in this work is based on functional level evolution whose architecture includes nonlinear functions and uses genetic algorithm for finding the best filter configuration.  
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A. Guruva Reddy : Colleagues
K. Sri Rama Krishna : Colleagues
M.N.GIRI PRASAD : Colleagues
K.Chandrabushan Rao : Colleagues
M. Madhavi : Colleagues  
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