Unprocessing Images for Learned Raw Denoising

Machine learning techniques work best when the data used for training resembles the data used for evaluation. This holds true for learned single-image denoising algorithms, which are applied to real raw camera sensor readings but, due to practical constraints, are often trained on synthetic image data... (read more)

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Datasets


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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Color Image Denoising Darmstadt Noise Dataset Image Unprocessing PSNR (sRGB) 40.35 # 1
SSIM (sRGB) 0.9641 # 1
PSNR (Raw) 48.88 # 1
SSIM (Raw) 0.9821 # 1

Methods used in the Paper


METHOD TYPE
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