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A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising

CVPR 2016 · Image generation › Image restoration · approach: Raw and low-light noise modeling · 290 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D800 ISO 1600 test images (1–3)PSNR: 38.14 -> 38.89Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D800 ISO 3200 test images (4–6)PSNR: 37.20 -> 38.27Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D800 ISO 6400 test images (7–9)PSNR: 32.76 -> 33.68Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D600 ISO 3200 test images (10–12)PSNR: 37.17 -> 37.36Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Canon 5D Mark III ISO 3200 test images (13–15)PSNR: 36.16 -> 36.22Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D800 ISO 6400 test images (7–9)SSIM: 0.961 -> 0.968Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D800 ISO 1600 test images (1–3)SSIM: 0.988 -> 0.990Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D800 ISO 3200 test images (4–6)SSIM: 0.991 -> 0.993Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Nikon D600 ISO 3200 test images (10–12)SSIM: 0.987 -> 0.988Helped
Use the proposed cross-channel, content-dependent noise model in BNLMBNLM · Canon 5D Mark III ISO 3200 test images (13–15)SSIM: 0.985 -> 0.987Helped
Estimate noise covariance using the proposed model rather than per-channel NLFNoise estimation · Nikon D800 ISO 1600 test images (1–3)covariance matrix error (mean): 5.02 -> 2.23Helped

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