A hybrid NSCT domain image watermarking scheme

作者：Hua Kai Lung; Dai Bi Ru; Srinivasan Kathiravan^*; Hsu You Hsiang; Sharma Vishal

来源：EURASIP Journal on Image and Video Processing, 2017, 2017(1): 10.

DOI：10.1186/s13640-016-0162-1

• Watermarking algorithm
• SIFT
• NSCT
• Morphology
• Mobile images

At present, dealing with the piracy and tampering of images has become a notable challenge, due to the presence of smart mobile gadgets. In this paper, we propose a novel watermarking algorithm based on non-subsampled contourlet transform (NSCT) for improving the security aspects of such images. Moreover, the fusion of feature searching approach with watermarking methods has gained prominence in the current years. The scale-invariant feature transform (SIFT) is a technique in computer vision for detecting and illustrating the local features in images. Nevertheless, the SIFT algorithm can extract feature points with high invariance that are resilient to several issues like rotation, compression, and scaling. Furthermore, the extracted feature points are embedded with watermark using the NSCT approach. Subsequently, the tree split, voting, rotation searching, and morphology techniques are employed for improving the robustness against the noise. The proposed watermarking algorithm offers superior capability, better capture quality, and tampering resistance, when compared with existing watermarking approaches.

• 出版日期2017-1-25