Research Article

Robust Signature-Based Copyright Protection Scheme Using the Most Significant Gray-Scale Bits of the Image

Table 1

Most significant bit (MSB) similarity rate under different attacks.

Attacks PSNR (dB)MSB similarity rate (%)
MSB-planeROI1Text blocks2DC of MSB3DWT

Average filter528.2396.495.696.096.399.6
BPM (25 dB)22.9489.091.085.089.497.0
Gauss. (G) filter536.9998.898.699.098.8100
G filter5 & noise20.1990.289.485.089.598.2
G noise20.4090.889.885.089.398.2
Histogram equal.16.5180.079.092.484.380.8
JPEG (quality 0)22.8790.890.087.087.394.2
JPEG (quality 5)25.1393.892.691.093.396.0
JPEG (quality 10)27.4995.494.694.096.598.6
LSRD620.1685.088.075.088.792.0
Median filter529.6597.496.698.097.399.4
Motion filter526.0295.294.292.095.598.8
MSB (30 dB)30.0081.075.075.079.693.0
MSB (35 dB)35.0085.086.082.089.298.0
Rot.-crop (2°)17.1588.088.681.093.589.6
Rot.-scale (2°)14.1884.486.075.089.885.6
Salt and pepper17.9597.897.498.096.898.0
Self similarities26.0490.095.090.090.299.0
Small rand. dist.16.2783.083.080.087.075.0
unZign29.0897.097.096.099.7100
Wiener filter534.6197.897.698.097.8100

1Region-of-interest.
2512 textured blocks were chosen from each image.
3MSB-plane was divided into blocks before taking DCT.
44-level wavelet decomposition.
5 window.
6Latest small random distortion.