A Novel Speckle Noise Removal Algorithm Based on ADMM and Energy Minimization Method

Table 1

The PSNR of the restored images by the different model.

Image		TV (PSNR/SSIM)	ATV (PSNR/SSIM)	JIN’s (PSNR/SSIM)	Finite difference for the new model (PSNR/SSIM)	ADMM for the new model (PSNR/SSIM)
Lena	2	29.49/0.8306	29.94/0.8731	29.98/0.8665	30.65/0.8831	30.83/0.9042
Bird	2	28.99/0.6907	30.28/0.7849	30.36/0.7774	31.07/0.8173	31.74/0.8747
Pirate	2	28.33/0.8975	27.22/0.8530	28.51/0.9042	28.74/0.9060	28.81/0.9153
House	2	27.45/0.6185	29.06/0.8101	28.77/0.6876	29.74/0.7447	30.35/0.8157
Boat	2	27.26/0.8240	27.90/0.8574	28.35/0.8622	28.64/0.8661	28.81/0.8808
Peppers	2	27.60/0.7183	28.66/0.8377	29.46/0.8195	29.53/0.8274	29.64/0.8430
Lena	3	27.73/0.7609	27.98/0.8149	28.49/0.8298	28.75/0.8266	28.85/0.8717
Bird	3	27.36/0.6451	27.92/0.6930	28.48/0.7307	29.13/0.7701	29.73/0.8456
Pirate	3	26.35/0.8392	26.38/0.8332	26.81/0.8578	26.98/0.8583	27.05/0.8720
House	3	26.08/0.5752	27.33/0.6611	27.24/0.6551	27.82/0.6896	28.25/0.7846
Boat	3	25.79/0.7481	26.47/0.7986	26.68/0.8029	26.82/0.7989	27.03/0.8218
Peppers	3	25.93/0.6758	26.70/0.7409	27.13/0.7446	27.37/0.7516	27.57/0.8004
Lena	4	26.17/0.6925	26.94/0.8129	26.82/0.7625	27.19/0.7641	27.25/0.8194
Bird	4	25.66/0.5679	26.49/0.6584	27.25/0.7263	27.51/0.7282	27.63/0.7994
Pirate	4	24.03/0.7652	24.33/0.7205	24.75/0.7787	25.77/0.8159	25.79/0.8306
House	4	24.63/0.5130	25.30/0.5760	26.18/0.6399	26.43/0.6437	26.51/0.7385
Boat	4	24.47/0.6807	24.95/0.7338	25.24/0.7370	25.51/0.7388	25.61/0.7745
Peppers	4	24.49/0.6153	25.59/0.7153	25.63/0.6800	25.83/0.7011	26.19/0.7600