Table 2 NCC 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	0.9953	0.9948	0.9887	0.9877	0.8932	0.9886	0.9888
Gaussian noise with 0.0 mean &0.001 variance	0.996	0.9953	0.9946	0.9939	0.9281	0.9946	0.9946
Gaussian noise with 0.01 mean & 0.005 variance	0.9868	0.9857	0.9701	0.9699	0.8412	0.9702	0.9705
Speckle noise 0.02	0.9674	0.9659	0.9655	0.9657	0.8437	0.9666	0.9671
Speckle noise 0.01	0.9842	0.9827	0.9835	0.9822	0.8791	0.9833	0.9836
Speckle noise 0.015	0.9759	0.9742	0.9742	0.9736	0.8558	0.9747	0.9753
Salt and Pepper noise 0.02	0.9786	0.9781	0.9639	0.972	0.9027	0.9633	0.9638
Salt and Pepper noise 0.01	0.9892	0.9887	0.9816	0.9839	0.9432	0.9803	0.9815
Salt and Pepper noise 0.005	0.9942	0.9942	0.9901	0.992	0.9697	0.9895	0.9904
Poisson Noise	0.9905	0.9895	0.9885	0.9873	0.894	0.9882	0.9887

Attack	DWT + SVD	LWT + DCT	LWT + SVD	IWT + DCT	IWT + SVD	Proposed
Gaussian noise with 0.01 mean & 0.002 variance	0.9991	0.9875	0.9984	0.8917	0.9936	0.9992
Gaussian noise with 0.0 mean &0.001 variance	0.9996	0.9938	0.9994	0.9284	0.9974	0.9994
Gaussian noise with 0.01 mean & 0.005 variance	0.9965	0.9693	0.9947	0.8399	0.9807	0.9973
Speckle noise 0.02	0.9957	0.965	0.9934	0.8424	0.9772	0.9967
Speckle noise 0.01	0.9982	0.9815	0.9971	0.8804	0.9885	0.999
Speckle noise 0.015	0.9969	0.973	0.9953	0.681	0.9825	0.9979
Salt and Pepper noise 0.02	0.9963	0.9718	0.9943	0.9035	0.978	0.9971
Salt and Pepper noise 0.01	0.9986	0.985	0.9978	0.9446	0.9888	0.9991
Salt and Pepper noise 0.005	0.9995	0.992	0.9987	0.9703	0.9958	0.999
Poisson Noise	0.999	0.9876	0.9983	0.8962	0.9932	0.9993

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