Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Signals and images often suffer from blurring or point spreading with unknown filter or point spread function. Most existing blind deconvolution and deblurring methods require good knowledge about both the signal and the filter and the performance depends on the amount of prior information regarding the blurring function and signal. Often an iterative procedure is required for estimating the blurring function such as the Richardson-Lucy method and is computational complex and expensive and sometime unstable.  a blind signal deconvolution and deblurring method is proposed based on an ICA measure as ll as a simple genetic algorithm. The method is simple and does not require any priori knowledge regarding the signal and the blurring function. Experimental results are presented and compared with some existing methods.
['Hujun Yin', 'Israr Hussain']
I am writing a research paper on a idea ICA and genetic algorithms for blind signal and image deconvolution and deblurring
[{"from": "human", "value": "I am writing a research paper on a idea ICA and genetic algorithms for blind signal and image deconvolution and deblurring"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Signals and images often suffer from blurring or point spreading with unknown filter or point spread function. Most existing blind deconvolution and deblurring methods require good knowledge about both the signal and the filter and the performance depends on the amount of prior information regarding the blurring function and signal. Often an iterative procedure is required for estimating the blurring function such as the Richardson-Lucy method and is computational complex and expensive and sometime unstable.  a blind signal deconvolution and deblurring method is proposed based on an ICA measure as ll as a simple genetic algorithm. The method is simple and does not require any priori knowledge regarding the signal and the blurring function. Experimental results are presented and compared with some existing methods."}]