Table 3 SSIM of integer wavelet transform and singular value decomposition.

Attack	DFT	DCT	DWT	LWT	IWT	DWT + DFT	DWT + DCT
Gaussian noise with 0.01 mean & 0.002 variance	0.2726	0.2489	0.1846	0.1699	0.0409	0.1853	0.19
Gaussian noise with 0.0 mean &0.001 variance	0.264	0.2384	0.282	0.2463	0.0554	0.2759	0.2782
Gaussian noise with 0.01 mean & 0.005 variance	0.1347	0.1266	0.1058	0.1035	0.0241	0.1071	0.1097
Speckle noise 0.02	0.0818	0.078	0.1043	0.0947	0.0211	0.1048	0.1041
Speckle noise 0.01	0.1279	0.1199	0.1614	0.1439	0.0306	0.1651	0.1671
Speckle noise 0.015	0.0999	0.0959	0.1272	0.1155	0.0263	0.1278	0.1309
Salt and Pepper noise 0.02	0.1882	0.1834	0.1763	0.1737	0.056	0.1733	0.1748
Salt and Pepper noise 0.01	0.3621	0.3513	0.3546	0.3028	0.1157	0.338	0.3556
Salt and Pepper noise 0.005	0.5544	0.5616	0.5677	0.5072	0.2347	0.5447	0.5491
Poisson Noise	0.167	0.1159	0.1889	0.1692	0.0381	0.1908	0.1955

Attack	DWT + SVD	LWT + DCT	LWT + SVD	IWT + DCT	IWT + SVD	Proposed
Gaussian noise with 0.01 mean & 0.002 variance	0.7765	0.1711	0.7147	0.039	0.5011	0.9752
Gaussian noise with 0.0 mean &0.001 variance	0.8584	0.2402	0.8351	0.0592	0.6324	0.9735
Gaussian noise with 0.01 mean & 0.005 variance	0.585	0.1031	0.4916	0.023	0.3297	0.9106
Speckle noise 0.02	0.5398	0.0949	0.4473	0.0179	0.3125	0.9036
Speckle noise 0.01	0.6708	0.1422	0.5908	0.032	0.3953	0.9404
Speckle noise 0.015	0.5857	0.1124	0.5079	0.0205	0.122	0.9172
Salt and Pepper noise 0.02	0.5465	0.1675	0.4737	0.0531	0.2899	0.9071
Salt and Pepper noise 0.01	0.7058	0.317	0.6395	0.1184	0.3974	0.9529
Salt and Pepper noise 0.005	0.8102	0.5159	0.7951	0.2437	0.58	0.9748
Poisson Noise	0.7572	0.1733	0.6927	0.0396	0.4859	0.9734

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