Blur identification by residual spectral matching

A.E. Savakis, H.J. Trussell
1993 IEEE Transactions on Image Processing  
The estimation of the point function (PSF) is often a necessary first step in the restoration of real images. In this work, a new blur identification method is presented. The PSF estimate is chosen from a collection of candidate PSF's which may be constructed using a parametric model or from experimental measurements. The PSF estimate is selected to provide the best match between the restoration residual power spectrum and its expected value, derived under the assumption that the candidate PSF
more » ... s equal to the true PSF. Several distance measures were studied to determine which one provides the best match. The a priori knowledge required is the noise variance and the original image spectrum. The estimation of these statistics is discussed and the sensitivity of the method to the estimates is examined analytically and by simulations. The method successfully identified blurs in both synthetically and optically blurred images.
doi:10.1109/83.217219 pmid:18296204 fatcat:kc2vf25zb5hjzds53oiz6bljbu