A New Framework of Designing Iterative Techniques for Image Deblurring.

ABSTRACT: In this work we present a framework of designing iterative techniques for image deblurring in inverse problem. The new framework is based on two observations about existing methods. We used Landweber method as the basis to develop and present the new framework but note that the framework is applicable to other iterative techniques. First, we observed that the iterative steps of Landweber method consist of a constant term, which is a low-pass filtered version of the already blurry observation. We proposed a modification to use the observed image directly. Second, we observed that Landweber method uses an estimate of the true image as the starting point. This estimate, however, does not get updated over iterations. We proposed a modification that updates this estimate as the iterative proces

SUBMITTER: Zhang M 

PROVIDER: S-EPMC8691531 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature