Research Article

Analysis of Digital Image Watermarking Techniques through Hybrid Methods

Table 3

PSNR, SSIM, BER, MAE, and NC values under type 1 attacks.

SchemesTest imageHistogram equalizationGaussian noiseSalt-and-pepper noiseLPGFJPEG compression (QF)JPEG 2000 (CR)Cropping (%)Rotation (°)

DWT-DCT [3]LenaSSIM = 0.9839 (QF = 50%)SSIM = 0.9495 (25%)
DWT-SVD [4]LenaNC = 1.0NC = 1.0 (for scaling factor = 0.99)NC = 1.0 (for scaling factor = 0.99)NC = 0.7593
DWT-SVD [5]CameramanPSNR = 20.4017 (for scaling factor = 0.01)PSNR = 7.8166
DWT-SVD [7]GoldhillPSNR = 17.545 (for scaling factor, μ = 5)PSNR = 30.000 (for scaling factor, μ = 5)PSNR = 12.364 (for scaling factor, μ = 5)PSNR = 29.794 (for scaling factor, μ = 5)PSNR = 8.356 (for scaling factor, μ = 5)PSNR = 13.047 (for scaling factor, μ = 5)PSNR = 11.430 (up to 200) (for scaling factor, μ = 5)
DWT-DCT [8]MRI-brainNC = 0.7498NC = 0.9487 (for μ = 0, var = 0.00001)NC = 0.9850 (for noise level = 0.001)NC = 0.7779NC = 1.0000 (for QF = 65)NC = 0.6963NC = 0.6981 (for 0.01°)
DCT-DWT [9]PeppersNC = 0.9739NC = 0.9413 (for noise level = 10%)NC = 0.9926 (for QF = 100)NC = 0.9594 (for 154 × 154)NC = 0.9886 (for 75°)
DWT-DCT [10]LenaBER = 5.67 (for var = 0.001)BER = 14.44 (for intensity = 1%)BER = 0.04 (for 3 × 3)BER = 0.02 (for QF = 80)BER = 0.01 (for CR = 2)BER = 11.99 (25%)BER = 13.94 (for 45°)
SVD-DCT [11]FaceMAE = 25.449MAE = 0.068MAE = 1.346 (for QF = 100)MAE = 11.462 (cropping 32 × 32 at corners)
DWT-DCT-SVD [12]AbdominalNC = 0.9999 at scaling factor 0.8 (for μ = 0, var = 0.01)NC = 0.9999 at scaling factor 0.8 (for density = 0.01)
LWT-DCT-SVD [13]LenaPSNR = 45.01206PSNR = 43.96941 (for μ = 0, var = 0.001)PSNR = 44.05564 (for density = 0.02)PSNR = 44.88039 (for 3 × 3)PSNR = 43.86933 (for QF = 70%)PSNR = 44.97377 (for 25%)PSNR = 44.82333 (for 5°)
DCT-SVD [14]BarbaraNC = 0.9952NC = 0.9952
DFT-DCT [15]D9SSIM = 0.9995, NC = 1.0SSIM = 0.9928, NC = 0.9947 (for μ = 0, var = 0.0005)SSIM = 0.9997, NC = 1.0, (for μ = 0, var = 0.0001)SSIM = 0.9996, NC = 0.9984 (for σ = 0.6, 9 × 9)SSIM = 0.9997, NC = 1.0 (for QF = 90)SSIM = 0.9002, NC = 0.9003 (for CR = 10)SSIM = 1.0, NC = 1.0, (50%)
DWT-DCT [16]LenaBER = 0.0869 (for 0.0008)BER = 0.0615 (for 0.005)BER = 0.0869 (for 3 × 3, 0.9)BER = 0.1660 (for QF = 20)
DCT-DWT [17]BaboonNC = 0.9982 (for scaling factor = 80)NC = 0.9530 (for scaling factor = 80)NC = 0.9994 (for scaling factor = 80)NC = 0.8669 (for scaling factor = 80)
DWT-SVD [18]PepperNC = 0.9438NC = 0.9139NC = 1.0000NC = 1.0000 (up to 90°)