A novel zero-watermarking algorithm based on robust statistical features for natural images

In this paper, we develop a robust image zero-watermarking algorithm based on multiple circular statistical features. First of all, detect stable feature points from the host image, and construct region partitions identified points, which contain critical information image. Second, statistics differences are calculated, both local global Third, apply discrete cosine transform (DCT) singular value decomposition (SVD) in order to The stability DCT SVD further warrants robustness algorithm. Moreover, Arnold is used scramble watermark enhance security Finally, obtain zero by performing exclusive-or (XOR) operation between scrambled stored copyright authentication database for authentication. combat geometric attacks, blind correction without using original accurately correct attacked Numerous experiments comparisons with state-of-the-art (SOTA) watermarking algorithms confirm that proposed affords good against various such as filtering noise even random combination above-stated attacks.