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

Xiaolong Li¹, Bin Yang, Tieyong Zeng

¹Institute of Computer Science and Technology, Peking University, Beijing 100871, China. lixiaolong@icst.pku.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|May 10, 2011

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This study introduces an improved reversible watermarking technique using prediction-error expansion (PEE). The new method enhances data embedding capacity and image quality by adaptively embedding data and selecting smooth pixels.

Area of Science:

Digital Image Processing
Information Security
Steganography

Background:

Reversible watermarking allows data embedding and extraction without image degradation.
Prediction-error expansion (PEE) is a key technique for high-capacity, low-distortion watermarking.

Purpose of the Study:

To propose an efficient reversible watermarking scheme by enhancing the PEE technique.
To improve payload capacity and visual quality of watermarked images.

Main Methods:

Incorporating adaptive embedding (1-2 bits based on local complexity) into PEE.
Implementing pixel selection to embed data in smooth image areas.
Reducing pixel value modification by avoiding expansion of large prediction errors.

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Main Results:

Achieved a larger payload capacity in a single embedding pass compared to conventional PEE.
Reduced embedding impact and maximum pixel modification.
Obtained a sharper prediction-error histogram and improved visual quality.

Conclusions:

The proposed adaptive PEE method with pixel selection offers superior performance over conventional PEE.
The enhanced scheme demonstrates significant advantages in capacity and visual quality compared to state-of-the-art methods.