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- W4386561753 abstract "Non-blind image deconvolution has been studied for several decades but most of the existing work focuses on blur instead of noise. In photon-limited conditions, however, the excessive amount of shot noise makes traditional deconvolution algorithms fail. In searching for reasons why these methods fail, we present a systematic analysis of the Poisson non-blind deconvolution algorithms reported in the literature, covering both classical and deep learning methods. We compile a list of five secrets highlighting the do's and don'ts when designing algorithms. Based on this analysis, we build a proof-of-concept method by combining the five secrets. We find that the new method performs on par with some of the latest methods while outperforming some older ones." @default.
- W4386561753 created "2023-09-09" @default.
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- W4386561753 date "2023-09-06" @default.
- W4386561753 modified "2023-10-16" @default.
- W4386561753 title "The Secrets of Non-Blind Poisson Deconvolution" @default.
- W4386561753 doi "https://doi.org/10.48550/arxiv.2309.03105" @default.
- W4386561753 hasPublicationYear "2023" @default.
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