The superresoluation optical fluctuation imaging (SOFI) has attractive broad study and application in the field of fluorescence microscopy. It provides relatively high resolution images and estimates the optical point spread function (PSF) efficiently. However, blurring artifacts retain in the SOFI images due to the presence of complicated cellular structure. In this talk, we study high-resolution image deconvolution methods based on the shearlet transform and high-order total variation regularizations.

This presentation is part of Minisymposium “MS49 - Image Restoration, Enhancement and Related Algorithms (4 parts)”
organized by: Weihong Guo (Case Western Reserve University) , Ke Chen (University of Liverpool) , Xue-Cheng Tai (Hong Kong Baptist University) , Guohui Song (Clarkson University) .

Authors:

Jing Qin (Montana State University)

Keywords: