Spectral semi-blind deconvolution methods based on modified phi(HS) regularizations

摘要

Deconvolution method has been widely used for spectral resolution enhancement. In order to preserve the detailed information and suppress noise better, trimmed phi(HS) regularization and weighted phi(HS) regularization are proposed in this paper. Then the semi-blind deconvolution methods with trimmed co ns regularization (SBD-THS) and with weighted phi(HS )regularization (SBD-WHS) are presented. The results of deconvolving simulated degraded spectra and real experiment spectra demonstrate that SBD-THS and SBD-WHS can enhance spectral resolution effectively while estimating the parameter of blur kernel accurately. In particular, SBD-WHS can produce great performance on preserving local details and suppressing noise. (C) 2018 Elsevier Ltd. All rights reserved.