EURASIP Journal on Image and Video Processing

Table 2 Two objective assessment parameters for Barbara to compare with methods in SWT and NSST domains

From: Using BayesShrink, BiShrink, Weighted BayesShrink, and Weighted BiShrink in NSST and SWT for Despeckling SAR Images

		\( {\sigma}_N^2=0.05 \)		\( {\sigma}_N^2=0.1 \)		\( {\sigma}_N^2=0.15 \)
		PSNR (dB) ↑	SSIM ↑	PSNR (dB) ↑	SSIM ↑	PSNR (dB) ↑	SSIM ↑
SWT	B-SWT [30]	26.2485	0.999962	24.5411	0.999883	23.5183	0.999734
	WB-SWT	26.3588	0.999963	24.5631	0.999886	23.6646	0.999738
	BI-SWT	27.6081	0.999963	25.4481	0.999894	24.0742	0.999740
	WBI-SWT	27.6893	0.999963	25.4621	0.999894	24.1642	0.999741
NSST	B-NSST [2]	28.2209	0.999969	26.1606	0.999894	24.7003	0.999747
	WB-NSST [27]	28.2413	0.999969	26.1921	0.999894	24.7371	0.999746
	BI-NSST(1)	28.2823	0.999969	26.2552	0.999894	24.8769	0.999742
	WBI-NSST(1)	28.2971	0.999969	26.2861	0.999894	24.9112	0.999744
	BI-NSST(2)	28.6433	0.999974	26.5448	0.999904	25.0982	0.999764
	WBI-NSST(2)	28.6819	0.99974	26.5694	0.999905	25.1537	0.999763

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