Image Priors for Image Deblurring with Uncertain Blur - Levin Dataset

Daniele Perrone[1], Avinash Ravichandran[2], René Vidal[3] and Paolo Favaro[1]

[1] Universität Bern, Bern, Switzerland

[2] UCLA VisionLab, University of California, Los Angeles, CA, USA

[3] Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA

In this section we present results obtained from the dataset available here.

Dataset image noise 0% - Parameters fixed for the whole dataset.


		PSF Noise 0%	PSF Noise 0.5%	PSF Noise 1%	PSF Noise 2%	PSF Noise 3%	PSF Noise 4%	PSF Noise 5%
PSNR	NLM \(D = [D_0 F]\)	37.29	36.32	34.02	30.10	26.70	24.73	22.60
	NLM \(D = F\)	37.28	36.29	33.98	30.06	26.64	24.66	22.53
	Levin et al.	37.65	36.47	34.00	29.96	26.43	24.43	22.27
	Krishnan et al.	33.75	33.31	32.01	29.18	26.31	24.53	22.49
	Cho et al.	36.19	35.08	32.96	29.34	26.01	24.12	22.03
SSIM	NLM \(D = [D_0 F]\)	0.980	0.976	0.958	0.907	0.827	0.771	0.697
	NLM \(D = F\)	0.980	0.976	0.958	0.906	0.824	0.767	0.692
	Levin et al.	0.983	0.978	0.959	0.906	0.820	0.761	0.683
	Krishnan et al.	0.953	0.949	0.934	0.889	0.816	0.764	0.695
	Cho et al.	0.980	0.976	0.957	0.904	0.819	0.761	0.684
SSD	NLM \(D = [D_0 F]\)	14.70	19.30	37.96	99.57	241.48	358.96	602.08
	NLM \(D = F\)	14.77	19.49	38.45	100.73	246.29	366.18	616.18
	Levin et al.	13.36	18.68	38.64	104.35	263.23	392.34	664.04
	Krishnan et al.	43.58	49.77	70.95	133.57	274.94	393.08	650.70
	Cho et al.	21.20	28.39	50.52	121.03	287.09	419.66	698.94


		PSF Noise 0%	PSF Noise 0.5%	PSF Noise 1%	PSF Noise 2%	PSF Noise 3%	PSF Noise 4%	PSF Noise 5%
PSNR	NLM \(D = [D_0 F]\)	38.90	37.17	34.25	30.10	27.20	26.08	24.40
	NLM \(D = F\)	38.90	37.17	34.24	30.06	27.07	25.96	24.24
	Levin et al.	38.90	37.17	34.24	29.96	26.68	25.51	23.64
	Krishnan et al.	33.88	33.29	31.88	29.01	26.66	25.43	24.02
	Cho et al.	36.19	35.08	32.96	29.34	26.61	24.96	23.31
SSIM	NLM \(D = [D_0 F]\)	0.989	0.983	0.960	0.907	0.840	0.810	0.764
	NLM \(D = F\)	0.989	0.983	0.959	0.906	0.834	0.805	0.756
	Levin et al.	0.989	0.983	0.960	0.906	0.831	0.800	0.747
	Krishnan et al.	0.952	0.947	0.930	0.884	0.827	0.795	0.753
	Cho et al.	0.980	0.976	0.957	0.904	0.836	0.792	0.743
SSD	NLM \(D = [D_0 F]\)	10.82	17.05	38.96	99.57	204.40	236.29	359.59
	NLM \(D = F\)	10.82	17.05	39.11	100.73	214.27	246.47	384.39
	Levin et al.	10.82	17.05	39.21	104.35	241.98	281.98	457.98
	Krishnan et al.	45.53	53.55	77.19	141.88	246.03	301.85	423.17
	Cho et al.	21.20	28.39	50.52	121.03	227.89	328.03	490.62


		PSF Noise 0%	PSF Noise 0.5%	PSF Noise 1%	PSF Noise 2%	PSF Noise 3%	PSF Noise 4%	PSF Noise 5%
PSNR	NLM \(D = [D_0 F]\)	28.80	28.82	28.56	27.74	26.44	25.29	24.28
	NLM \(D = F\)	28.94	28.95	28.64	27.73	26.32	25.08	24.01
	Levin et al.	28.93	28.83	28.38	27.21	25.56	24.16	22.89
	Krishnan et al.	28.17	28.21	28.01	27.33	26.12	25.03	24.03
	Cho et al.	28.65	28.44	27.92	26.68	25.05	23.70	22.47
SSIM	NLM \(D = [D_0 F]\)	0.851	0.852	0.847	0.831	0.801	0.772	0.748
	NLM \(D = F\)	0.854	0.854	0.849	0.831	0.797	0.764	0.737
	Levin et al.	0.819	0.820	0.815	0.794	0.753	0.714	0.679
	Krishnan et al.	0.826	0.828	0.825	0.811	0.781	0.750	0.724
	Cho et al.	0.843	0.843	0.835	0.811	0.768	0.727	0.692
SSD	NLM \(D = [D_0 F]\)	92.26	92.03	98.59	122.44	178.71	244.05	317.11
	NLM \(D = F\)	88.98	89.21	96.79	123.42	187.91	264.80	350.68
	Levin et al.	86.73	89.15	100.66	137.61	225.28	332.53	461.36
	Krishnan et al.	108.10	107.87	114.44	136.92	196.03	265.90	344.64
	Cho et al.	92.38	97.62	112.58	156.10	253.12	366.56	503.42


		PSF Noise 0%	PSF Noise 0.5%	PSF Noise 1%	PSF Noise 2%	PSF Noise 3%	PSF Noise 4%	PSF Noise 5%
PSNR	NLM \(D = [D_0 F]\)	28.95	28.86	28.45	27.24	26.22	25.61	24.74
	NLM \(D = F\)	28.95	28.86	28.42	27.13	26.21	25.57	24.62
	Levin et al.	28.91	28.81	28.35	27.07	26.22	25.56	24.59
	Krishnan et al.	27.62	27.58	27.30	26.36	26.19	25.23	23.88
	Cho et al.	28.63	28.42	27.88	26.55	25.55	24.93	24.06
SSIM	NLM \(D = [D_0 F]\)	0.830	0.832	0.827	0.806	0.785	0.767	0.745
	NLM \(D = F\)	0.829	0.831	0.825	0.801	0.784	0.767	0.742
	Levin et al.	0.819	0.820	0.814	0.790	0.784	0.766	0.740
	Krishnan et al.	0.781	0.784	0.782	0.765	0.784	0.758	0.721
	Cho et al.	0.843	0.843	0.835	0.807	0.764	0.745	0.721
SSD	NLM \(D = [D_0 F]\)	86.53	88.86	99.64	138.53	176.52	207.71	257.93
	NLM \(D = F\)	86.44	88.66	100.52	143.48	178.29	213.70	272.48
	Levin et al.	87.23	89.60	101.88	145.13	178.17	214.64	274.61
	Krishnan et al.	120.27	122.29	132.83	171.56	190.17	250.65	348.07
	Cho et al.	92.73	97.90	113.85	163.86	205.24	242.33	300.18