Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider the class of Iterative Shrinkage-Thresholding Algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class of methods is attractive due to its simplicity, hover, they are also known to converge quite slowly.   present a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) which preserves the computational simplicity of ISTA, but with a global rate of convergence which is proven to be significantly better, both theoretically and practically. Initial promising numerical results for wavelet-based image deblurring demonstrate the capabilities of FISTA.
['Amir Beck', 'Marc Teboulle']
I am writing a research paper on a idea A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring
[{"from": "human", "value": "I am writing a research paper on a idea A fast Iterative Shrinkage-Thresholding Algorithm with application to wavelet-based image deblurring"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider the class of Iterative Shrinkage-Thresholding Algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class of methods is attractive due to its simplicity, hover, they are also known to converge quite slowly.   present a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) which preserves the computational simplicity of ISTA, but with a global rate of convergence which is proven to be significantly better, both theoretically and practically. Initial promising numerical results for wavelet-based image deblurring demonstrate the capabilities of FISTA."}]