Image Denoising via Gradient Minimization with Effective Fidelity Term

Table 2

Denoising results of the Pepper image with different noise levels.

Pepper	Algorithm	PSNR	MSSIM
	TV	27.78	0.7695
	LMMSE	28.28	0.8209
	BLF	25.89	0.7472
	LARK	28.33	0.8400
	NL-Means	27.96	0.7697
	K-SVD	28.59	0.8355
	LGM	19.87	0.6211
	Proposed	28.72	0.8479
	TV	24.35	0.5649
	LMMSE	26.84	0.7809
	BLF	24.63	0.6658
	LARK	26.64	0.8001
	NL-Means	26.35	0.7453
	K-SVD	27.06	0.7934
	LGM	18.42	0.5152
	Proposed	27.05	0.8102