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Rethinking the CSC Model for Natural Images

NeurIPS 2019 · Image generation › Image restoration · approach: Diffusion priors for denoising and deblurring · 26 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a strided CSC approximation with q=10 rather than standard CSC with q=1 (ablation)CSC denoising · Set12, σ=15PSNR: 28.99 -> 31.46Helped
Use a strided CSC approximation with q=10 rather than standard CSC with q=1 (ablation)CSC denoising · Set12, σ=25PSNR: 25.78 -> 28.88Helped
Use a strided CSC approximation with q=10 rather than standard CSC with q=1 (ablation)CSC denoising · Set12, σ=50PSNR: 21.49 -> 25.56Helped
Use a strided CSC approximation with q=10 rather than standard CSC with q=1 (ablation)CSC denoising · Set12, σ=75PSNR: 18.83 -> 23.66Helped
Use stride q=10 instead of patch averagingCSC denoising · Set12, σ=15PSNR: 31.23 -> 31.46Helped
Use stride q=10 instead of patch averagingCSC denoising · Set12, σ=25PSNR: 28.73 -> 28.88Helped
Use stride q=10 instead of patch averagingCSC denoising · Set12, σ=50PSNR: 25.32 -> 25.56Helped
Use stride q=10 instead of patch averagingCSC denoising · Set12, σ=75PSNR: 23.28 -> 23.66Helped
Use intermediate stride q=7 or q=8 rather than q=1 or q=11 (ablation)CSCNet · BSD68, σ=25PSNR: 28.74; 28.9; 29.11Helped
Use CSCNet rather than DnCNNgrayscale denoising · BSD68, σ=15 and σ=25PSNR: 31.72 -> 31.57; 29.22 -> 29.11Hurt
Use CSCNet rather than FFDNetgrayscale denoising · BSD68, σ=50 and σ=75PSNR: 26.29 -> 26.24; 24.79 -> 24.77Hurt
Use CSCNet rather than the strongest listed baselinecolor denoising · color-BSD68PSNR: 33.89 -> 33.83; 31.23 -> 31.18; 27.96 -> 28.00; 26.24 -> 26.32Mixed

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