Unprocessing Images for Learned Raw Denoising

CVPR 2019 Tim BrooksBen MildenhallTianfan XueJiawen ChenDillon SharletJonathan T. Barron

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)

PDF Abstract
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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