A blind robust watermarking method based on Arnold Cat map and amplified pseudo-noise strings with weak correlation
This work addresses the need for secure and imperceptible digital watermarking in image processing, though it appears incremental as it builds on existing techniques with specific improvements.
The paper tackles the problem of robust and blind image watermarking by proposing a method that uses Arnold Cat map and weakly correlated pseudo-noise strings to embed watermarks, achieving high resistance to common attacks like noise, compression, and enhancement processing, with results showing superiority over recent methods in experimental comparisons.
In this paper, a robust and blind watermarking method is proposed, which is highly resistant to the common image watermarking attacks, such as noises, compression, and image quality enhancement processing. In this method, Arnold Cat map is used as a pre-processing on the host image, which increases the security and imperceptibility of embedding watermark bits with a strong gain factor. Moreover, two pseudo-noise strings with weak correlation are used as the symbol of each 0 or 1 bit of the watermark, which increases the accuracy in detecting the state of watermark bits at extraction phase in comparison to using two random pseudo-noise strings. In this method, to increase the robustness and further imperceptibility of the embedding, the Arnold Cat mapped image is subjected to non-overlapping blocking, and then the high frequency coefficients of the approximation sub-band of the FDCuT transform are used as the embedding location for each block. Comparison of the proposed method with recent robust methods under the same experimental conditions indicates the superiority of the proposed method.