These days image processing technology has evolved a lot. Digital media can be distorted easily due to the availability of editing tools. So, watermarking can be used to protect digital media. This article proposes th...
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These days image processing technology has evolved a lot. Digital media can be distorted easily due to the availability of editing tools. So, watermarking can be used to protect digital media. This article proposes the Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) based effective and optimal robust image watermarking technique using the differential evolution (DE) algorithm, which is invariant against rotation, scaling, and translation (RST). The watermark embedding process uses a 3-level DWT and SVD. Here, speeded-up robust features (SURF) are also used to extract feature points and match features. The RST-attacked image can be restored using these features by applying the m-estimator SAmple Consensus(m-sac) algorithm. DE algorithm is used to estimate the optimized value of the scaling factor. The optimized scaling factor is assisted in acquiring the highest possible robustness with enhanced imperceptibility. After experimentation, results illustrate the proposed technique is invariant to the RST, and signal processing attacks.
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