EURASIP Journal on Advances in Signal Processing

Table 7 The average PSNR and SSIM values for different Lagrange multipliers (3 ×)

From: Noisy image magnification with total variation regularization and order-changed dictionary learning

λ ₁	λ ₂
	0.2	0.4	0.6	0.8	0.2	0.4	0.6	0.8
	σ=5				σ=10
0.2	30.391	30.329	30.368	30.061	27.615	27.660	27.763	27.480
	0.8763	0.8732	0.8714	0.8461	0.6927	0.6984	0.7048	0.6406
0.4	30.596	30.575	30.675	30.083	27.018	27.155	27.196	27.531
	0.8834	0.8833	0.8867	0.8463	0.6358	0.6513	0.6560	0.6449
0.6	30.623	30.653	30.677	30.077	26.770	26.809	26.842	27.583
	0.8783	0.8813	0.8826	0.8459	0.6162	0.6185	0.6218	0.6508
0.8	30.557	30.592	30.610	30.088	26.541	26.624	26.565	27.470
	0.8694	0.8746	0.8757	0.8485	0.5910	0.6017	0.6048	0.6422
	σ=15				σ=20
0.2	23.833	24.115	24.271	24.459	20.997	21.136	21.327	22.030
	0.5460	0.5735	0.5851	0.5448	0.3961	0.4036	0.4117	0.4123
0.4	23.141	23.266	23.316	24.428	20.020	19.999	20.031	22.065
	0.4908	0.5003	0.5078	0.5411	0.3359	0.3317	0.3400	0.4158
0.6	22.785	22.795	22.931	24.415	19.602	19.754	19.723	22.157
	0.4673	0.4685	0.4835	0.5370	0.3075	0.3197	0.3132	0.4273
0.8	22.385	22.465	22.612	24.512	19.432	19.583	19.557	22.022
	0.4411	0.4515	0.4592	0.5526	0.3069	0.3108	0.3147	0.4108

PSNR, peak signal-to-noise ratio; SSIM, structural similarity.

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