Correction of the Motion Blur Alteration in the Human Lymphocyte Micro-Nucleus Image Based on Wiener’s Deconvolution

The image correction based on the Wiener's deconvolution is proposed by evaluating the Point-Spread Function (PSF) for motion blur alteration. This correction is experimented to reduce the number of rejected images by the pre-processing procedure pointed out to correct detection of the Micro Nucleuses into human lymphocyte images acquired from the Image Flow Cytometer. The proposed correction operates in conjunction with (i) the spatial filters, pointed out to correct the bad exposure, the Gaussian out of focus and the Gaussian noise, and (ii) the Wiener's deconvolution with PSF particularized for Gaussian out of focus alteration with high intensity. The heavy computation burden of correction based on each one Wiener's deconvolution compared with that based on spatial filters suggests to use each one of the Wiener's deconvolution to process the rejected images from the spatial filters, only, and not all acquired images. According to this consideration and to speed up the complete pre-processing correction procedure, the implementation is based on the computing distributed service implemented by using the LabVIEW Shared Variables. The criteria to establish the number of PCs to be used is experimental evaluated.