A Novel DWT-Based Watermarking for Image with The SIFT
Abstract: A kind of scale
invariant features transformation (SIFT for short) operators on DWT domain are
proposed for watermarking algorithm. Firstly, the low frequency of the image is
obtained by DWT. And then the SIFT transformation is used to calculate the key
feature points for the low frequency sub-image. Based on the chosen space’s key
points with moderate scale, a circular area as watermark embedding area is
constructed. According to the research and final results, the novel digital
watermark algorithm is proposed benefiting from the characteristics of SIFT’s
key points and local time-frequency of DWT. The algorithm not only has good
robustness to resist on such operations as compression, shearing, noise
addition, median filtering and scaling, but also has good inhibition to
possible watermark fake verification.
Author: Yuan Xu, Qiang Zhang, Changjun Zhou
Journal Code: jptkomputergg130038
