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The proposed watermarking scheme uses NPT to encode a gray scale watermarking logo image or text, into a host image at any location.
In this paper, a robust private watermarking scheme for embedding a gray-scale watermark is proposed.
Imperceptible spread-spectrum watermarks are typically embedded by adding a conveniently scaled watermark value to the raw data or in a transform domain.
In this paper, we propose a novel scaling watermarking scheme in which the watermark is embedded in the low-frequency wavelet coefficients to achieve improved robustness.
Scale scaling factor's range is from 0.4 to 2. Before extracting the watermark, the watermarked image is recovered to 512 × 512.
These will be used to correct the rotation and scaling before watermark extraction.
Overall, it is concluded that the Fuzzy-BPN is successful candidate for implementing novel gray-scale image watermarking scheme meeting real timelines.
Check 'Include watermark' in the 'Watermark' section.
We then correct M θ,1/σ (ω x, ω y ) by rotating counter-clockwise by − ϕ attack and scaling by σ attack about the origin, and obtain the Fourier magnitude M 0,1(ω x, ω y ) corresponding to the original watermarked image at orientation 0 and scale 1. Next, the watermark is recovered from M 0,1(ω x, ω y ) as follows.
Li and Cox [11] applied the modified Watson's perceptual model to provide resistance to valumetric scaling for QIM watermarking.
Selection of scaling factors for watermarking is also replaced by this linear weight evaluation and hence this method eliminates the ambiguity of scaling factor evaluation.
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