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A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping

CVPR 2018 · Architectures and efficiency › RNNs and normalization · approach: Sparse dictionary representations · 161 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the hybrid ℓ1-ℓ0 decomposition with the multiscale tone-mapping schemeTone mapping HDR radiance maps · HDR database (40 images)TMQI: 0.8746 -> 0.8851Helped
Use the hybrid ℓ1-ℓ0 decomposition with the multiscale tone-mapping schemeTone mapping HDR radiance maps · HDR database (40 images)Naturalness: 0.5303 -> 0.5547Helped
Use the hybrid ℓ1-ℓ0 decomposition with the multiscale tone-mapping schemeTone mapping HDR radiance maps · HDR database (40 images)Mean opinion score: 5.31 -> 6.43Helped
Use the hybrid ℓ1-ℓ0 decomposition with the multiscale tone-mapping schemeTone mapping HDR radiance maps · HDR database (40 images)Fidelity: 0.8614 -> 0.8334Hurt
Use ℓ0 rather than ℓ1 gradient sparsity on the detail layer (ablation)Layer decomposition for tone mapping · HDR images (Figure 1 comparison)Over-enhancementHelped
Use two-scale rather than one-scale decomposition (ablation)Hybrid ℓ1-ℓ0 tone mapping · HDR images (Figure 3 comparison)Natural appearanceHelped
Set λ2 to 0.0008 with λ1 fixed to 0.3 (ablation)Hybrid ℓ1-ℓ0 decomposition · Detail layerMLE: 2.33Hurt
Set λ2 to 0.008 with λ1 fixed to 0.3 (ablation)Hybrid ℓ1-ℓ0 decomposition · Detail layerMLE: 0.97Hurt
Use λ2 = 0.003 with λ1 fixed to 0.3 (ablation)Hybrid ℓ1-ℓ0 decomposition · Detail layerMLE: 1.55No clear effect
Set λ1 to 0.06 rather than 0.3 (ablation)Hybrid ℓ1-ℓ0 decomposition · Base layerMLE: 2.27Mixed
Set λ1 to 1 rather than 0.3 (ablation)Hybrid ℓ1-ℓ0 decomposition · Base layerMLE: 2.09Mixed

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