Spectral semi-blind deconvolution methods based on modified φ regularizations

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.

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