N. Ishihara and S. Komatsu: Blind Recovery of Blurred Image Using Adaptive Masking Method: Experimental Results, Book of Abstracts, MOC'04 (10th Microopics Conference, Jena, Germany, 2004), p.15, L-59; Proc. MOC'04 (10th Microopics Conference, Jena, Germany, 2004), L_59.PDF.

We propose a new method of a blind deconvolution (BD) suitable for the recovery of truncated blurred images. In practical cases we often encounter truncated images, but they are difficult to treat properly with conventional BD algorithms since non-truncated blurred images are assumed. The proposed 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 multiplying the initial window whose shape is determined with the initial estimate of the Point Spread Function (PSF). A more appropriate estimate for the PSF is obtained from the masked segment based on the SA algorithm, and according to the new estimate of 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 deconvoled with the final estimate of the PSF to obtain the recovered image. At this time we have taken a real image of a test chart which size is the micron order, and reconstruct the real object of the test chart.