When the captured image is blurring, one way of obtaining a clear image is via image deconvolution technique. In order to perform deconvolution successfully, usually we need to pay attention to the following issues:
- Image content, which determines what kind of apriori information you will use (Total Variation, Laplacian and so on) during the image reconstruction procedure.
- Image noise level, which determines the balance factor between apriori information and data consistence term.
- Point Spread Function (PSF), which is used to measure how blurring the image is.
Here my question is related to PSF estimation. The simplest way of finding the right PSF is to use different PSFs to perform deconvolution, and then select the best one visually. Then my question is how we can tell which PSF is the best visually.