Efficient reversible watermarking based on adaptive prediction-error expansion and pixel selection

Xiaolong Li*, Bin Yang, Tieyong ZENG

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

386 Citations (Scopus)

Abstract

Prediction-error expansion (PEE) is an important technique of reversible watermarking which can embed large payloads into digital images with low distortion. In this paper, the PEE technique is further investigated and an efficient reversible watermarking scheme is proposed, by incorporating in PEE two new strategies, namely, adaptive embedding and pixel selection. Unlike conventional PEE which embeds data uniformly, we propose to adaptively embed 1 or 2 bits into expandable pixel according to the local complexity. This avoids expanding pixels with large prediction-errors, and thus, it reduces embedding impact by decreasing the maximum modification to pixel values. Meanwhile, adaptive PEE allows very large payload in a single embedding pass, and it improves the capacity limit of conventional PEE. We also propose to select pixels of smooth area for data embedding and leave rough pixels unchanged. In this way, compared with conventional PEE, a more sharply distributed prediction-error histogram is obtained and a better visual quality of watermarked image is observed. With these improvements, our method outperforms conventional PEE. Its superiority over other state-of-the-art methods is also demonstrated experimentally.

Original languageEnglish
Article number5762603
Pages (from-to)3524-3533
Number of pages10
JournalIEEE Transactions on Image Processing
Volume20
Issue number12
DOIs
Publication statusPublished - Dec 2011

Scopus Subject Areas

  • Software
  • Computer Graphics and Computer-Aided Design

User-Defined Keywords

  • Adaptive embedding
  • Pixel selection
  • Prediction-error expansion (PEE)
  • Reversible watermarking

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