Efficient Image Deblurring Using Alpha Plane Blending on Images Recovered with Linearly Varied Point Spread Function (PSF)

Abstract

The medical imaging has seen a significant technological shift from analog-film-based imaging to high-end digital computer imaging. One of the problems this domain has always faced is the blurred images due to the natural motion in the body and mechanical motion of the capturing devices. This work utilizes the image blending technique to improve the image quality while deblurring through motion adaptive point spread functions. The idea is to first get a sample set of images restored through Lucy RC deconvolution techniques using varied PSFs and then applying the image blending over the image set in alpha plane to get deblurred sharp images.