Specifically, we have looked at the Wiener filter and how to identify the system using the point spread function(PSF). As we are looking at blind deconvolution, identification of the system is fundamental to restoration of the image. Multiple versions of the same image might also help us to make better estimates and improve the blind deconvolution process.
A possible application of deblurring filters to an image with unknown properties might be an automatic system to determine the optimal filter. If a basic deblurring filter is used, paramaters such as an initial guess and a range of operation can be defined that the filter could be run via a computer program at different values until the 'best' image is found. To automate the analysis process, edge detection would be used to find this 'best' output image, such that the optimal filter with the largest prescence of edges would be found in the image with the best focus.
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