Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new image and blur prior model, based on non-stationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sampler. As far as  are aware, this is the first attempt to tackle a real-world blind image deconvolution (BID) problem using Markov chain Monte Carlo (MCMC) methods.  give examples with simulated and real out-of-focus images, which show the state-of-the-art results that the proposed approach provides.
['Tom E. Bishop', 'Rafael Molina', 'James R. Hopgood']
I am writing a research paper on a idea Blind restoration of blurred photographs via AR modelling and MCMC
[{"from": "human", "value": "I am writing a research paper on a idea Blind restoration of blurred photographs via AR modelling and MCMC"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a new image and blur prior model, based on non-stationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sampler. As far as  are aware, this is the first attempt to tackle a real-world blind image deconvolution (BID) problem using Markov chain Monte Carlo (MCMC) methods.  give examples with simulated and real out-of-focus images, which show the state-of-the-art results that the proposed approach provides."}]