Research Article

Analysis of Digital Image Watermarking Techniques through Hybrid Methods

Table 4

PSNR, SSIM, and NC values under type 2 attacks.

SchemesTest imageSharpeningBlurringAverage filter (AF)Median filter (MF)Resizing/scalingPoisson noise (PN)Gaussian white noise (GWN)Speckle noise (SN)

DWT-DCT [3]LenaSSIM = 0.9777SSIM = 0.9798SSIM = 0.9558 (μ = 0, var = 0.01)
DWT-SVD [4]LenaNC = 1.0 (for scaling factor = 0.8)
DWT-SVD [5]CameramanPSNR = 20.6928
DWT-SVD [7]GoldhillPSNR = 30.000 (for scaling factor, μ = 5)
DWT-DCT [10]LenaBER = 4.45 (for 3 × 3)BER = 1.09 (scaling 25%)
DWT-DCT-SVD [12]AbdominalNC = 0.9940 (for 5 × 5)NC = 0.9995 (for 3 × 3)NC = 0.9996 (for density = 0.08)
LWT-DCT-SVD [13]LenaPSNR = 45.00733PSNR = 43.74854 (for 3 × 3)PSNR = 44.06895 (for 3 × 3)PSNR = 44.43792 (for 512 to 256 to 512)PSNR = 44.23103PSNR = 43.78754 (for μ = 0, var = 0.04
DCT-SVD [14]BarbaraNC = 0.8812
DCT-DWT [17]BaboonNC = 0.9292 (for scaling factor = 80)NC = 0.9663 (for scaling factor 80)NC = 0.9715 (for scaling factor 80)NC = 0.9988 (for scaling factor 80)NC = 0.9589 (for scaling factor 80)NC = 0.9589 (for scaling factor 80)NC = 0.9982 (for scaling factor 80)NC = 0.8770 (for scaling factor 80)
DWT-SVD [18]PepperNC = 1.0000NC = 0.9346