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- W4385681911 abstract "Calibration-based methods have dominated RAW image denoising under extremely low-light environments. However, these methods suffer from several main deficiencies: 1) the calibration procedure is laborious and time-consuming, 2) denoisers for different cameras are difficult to transfer, and 3) the discrepancy between synthetic noise and real noise is enlarged by high digital gain. To overcome the above shortcomings, we propose a calibration-free pipeline for Lighting Every Drakness (LED), regardless of the digital gain or camera sensor. Instead of calibrating the noise parameters and training repeatedly, our method could adapt to a target camera only with few-shot paired data and fine-tuning. In addition, well-designed structural modification during both stages alleviates the domain gap between synthetic and real noise without any extra computational cost. With 2 pairs for each additional digital gain (in total 6 pairs) and 0.5% iterations, our method achieves superior performance over other calibration-based methods. Our code is available at https://github.com/Srameo/LED ." @default.
- W4385681911 created "2023-08-09" @default.
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- W4385681911 date "2023-08-07" @default.
- W4385681911 modified "2023-09-27" @default.
- W4385681911 title "Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising" @default.
- W4385681911 doi "https://doi.org/10.48550/arxiv.2308.03448" @default.
- W4385681911 hasPublicationYear "2023" @default.
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