A New Watermarking Scheme Based on SIFT Feature Points with Reversible Rotation
Xuping Huang · 2019
This paper proposes a new watermarking technique based on scale invariant feature transform (SIFT) integer rotation to protect the confidentiality of medical data. SIFT is used to extract the positions of the original data, and then the positions are rotated by a reversible integer rotation algorithm by multiplying triangular matrix to generate the appropriate positions for embedding an encrypted and divided person data of patients. Histogram of scale and distortion is estimated to generate the stego data. Different positions according histogram of scale are used for embedding after applying integer rotation with angles as an alternative parameter. The experimental results show the proposed watermarking method imperceptible with an average peak signal-to-noise ratio (PSNR [dB]) 50.595 and 5.216 as the average entropy.