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A feature adaptive image watermarking framework based on Phase Congruency and Symmetric Key Cryptography
یک چارچوب واترمارک سازی تصویر سازگار با ویژگی مبتنی بر فاز جمع و رمزنگاری کلید متقارن-2019 In this paper, a Phase Congruency based digital color image watermarking algorithm is proposed which
provides a higher degree of robustness against attacks and excellent imperceptibility. Here, Phase
Congruency has been used to detect the local feature regions of the host image and then the watermark
has been infused into it using a new technique called ‘Adaptive a-b Blending’. An accurate Human Visual
System modeling has been incorporated via Lifting Wavelet Transform to take the full advantage of perceptual
watermarking. The coefficients of the a-b blending are selected adaptively based on the Phase
Congruency feature map of the host image. Furthermore, the watermark is secured with a cryptographic
algorithm called Arnold’s Cat Map to prohibit further eavesdropping. From rigorous testing, results indicate
that our approach is robust against various geometric, non-geometric and combined attacks while
maintaining a sublime imperceptibility Keywords: Digital Watermarking | Phase Congruency | a-b Blending | Arnold’s Cat Map | Lifting Wavelet Transform | Cryptography |
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