Intelligent Watermarking for High-Capacity Low-Distortion Data Embedding

Frank Shih, Xin Zhong

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Image watermarking intends to hide secret data for the purposes of copyright protection, image authentication, data privacy, and broadcast monitoring. The ultimate goal is to achieve highest embedding capacity and lowest image distortion. In this paper, we present an intelligent watermarking scheme which can automatically analyze an image content to extract significant regions of interest (ROIs). A ROI is an area involving crucial information, and will be kept intact. The remaining regions of non-interest (RONIs) are collated for embedding watermarks, and will be ranked according to their entropy fuzzy memberships into a degree of importance. They are embedded by different amounts of bits to achieve optimal watermarking. The watermark is compressed and embedded in the frequency domain of the image. Experimental results show that the proposed technique has accomplished high capacity, high robustness, and high PSNR (peak signal-to-noise ratio) watermarking.

Original languageEnglish (US)
Article number1654003
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume30
Issue number5
DOIs
StatePublished - Jun 1 2016

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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