New Image Restoration Method Based on Multiple Aperture Defocus Images for Microscopic Images

Image deconvolution is an effective image restoration technique to improve the quality of digital microscopic images resulting from out-of-focus blur. To solve the severely ill-posed problem of traditional Richardson–Lucy method, considering the point spread difference of various directions, a new microscope image restoration method based on multiple defocused images of different aperture is proposed. The maximumlikelihood estimation is used to suppress the ringing artifacts and noises sensitivity of microscope image. Experimental results show that the proposed algorithm performs better than Richardson–Lucy method and improve peak-signal-to-noise-rate about 4 dB. Copyright © 2014 IFSA Publishing, S. L.