Hierarchical blur identification
Reginald L. Lagendijk, Jan Biemond, Dick E. Boekee · International Conference on Acoustics, Speech, and Signal Processing · 2002
A hierarchical blur identification method which is able to identify severe blurs having a relatively large support size is proposed. The method is based on the expectation-maximization algorithm and begins by identifying a low-pass version of the point-spread function (PSF) from a reduced-resolution version of the blurred image. The result is used to initialize the identification of the PSF from a higher-resolution image. By repeating this process, the support size and resolution of the identified PSF are gradually increased, achieving an efficient identification of large PSFs.>