Spectral semi-blind deconvolution methods based on modified φHS regularizations. (February 2019)

• Record Type: Journal Article
• Authors: Zhu, Hu; Deng, Lizhen; Xu, Guoxia; Chen, Yixiang; Li, Yujie
• Is Part Of: Optics & laser technology. Volume 110(2019)
• Page Start: 24
• Page End: 29
• Publication Date: 2019-02
• Subjects: Spectral resolution -- Semi-blind deconvolution -- Trimmed φHS regularization -- Weighted φHS regularization; Optics -- Periodicals; Lasers -- Periodicals; Electronic journals; 621.366
• DOI: 10.1016/j.optlastec.2018.01.046
• Languages: English
• ISSNs: 0030-3992

Abstract

Highlights: A semi-blind deconvolution method with trimmed φ HS regularization is proposed. A semi-blind deconvolution method with weighted φ HS regularization is proposed. The superiority of the SBD-THS and SBD-WHS methods are verified by experiments. Abstract: Deconvolution method has been widely used for spectral resolution enhancement. In order to preserve the detailed information and suppress noise better, trimmed φ HS regularization and weighted φ HS regularization are proposed in this paper. Then the semi-blind deconvolution methods with trimmed φ HS regularization (SBD-THS) and with weighted φ 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.