A Comprehensive Study of Blind and Non-blind Deconvolution Methods Applied to Spectrum Extraction

摘要

Spectrum extraction which is applied to extract one-dimensional (1D) astronomical spectroscopy from two-dimensional (2D) multi-fiber spectrum images plays a key role in data processing of 2D optical fiber spectrum. In this paper, we have given a detailed comparison of spectrum extraction methods between the blind deconvolution and the non-blind deconvolution to find out their specialities. The simulated arc spectrum data is used in Comparative experiments. The results show that the blind deconvolution is better than the non-blind deconvolution not only at spectrum extraction result but also remarkably at signal noise ratio (SNR).