N. Ishihara and S. Komatsu: Blind Recovery of Truncated Blurred Image Using Adaptive Masking Method, Proc. WISICT 2004 (Cancun, Mexico, 2004), (2004) 368-373.

We propose a new method of blind deconvolution (BD) suitablefor the recovery of truncated blurred images. In practical cases we often encounter truncated blurred images, but they are difficult to treat properly with conventional BD algorithms since non-truncated blurred images are assumed. The prposed method is based on simulated annealing (SA), to which we introduced an adaptive masking process. After a truncated segment is cut out from the blurred image, the sharp edges surrounding the segment are removed by multipying the initial window whose shape is derermined with the initial estimate of the Point Spread Function (PSF). A more appropriate estimate for the PSF, the shape of the window is varied. These procedures are iterated until we finally obtain the best possible estimate of the PSF. In the last step, the entire blurred image is deconvolved with the final estimate of the PSF to obtain the recoverd whole image. The effectiveness of the proposed method is confirmed by computer simualtion.