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Erschienen in:
2018 | OriginalPaper | Buchkapitel
An Improved Reversible Data Hiding Scheme with Large Payload Based on Image Local-Complexity
verfasst von : Fang Cao, Yalei Zhang, Bowen An, Heng Yao, Zhenjun Tang
Erschienen in: Cloud Computing and Security
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Abstract
In this paper, a reversible data hiding scheme for digital images with high hiding capacity is proposed. Original image is segmented into smooth and rough regions based on local complexity. In order to achieve higher hiding capacity, we embed three bits into each pixel belonging to smooth region with lower local complexity and one bit is embedded into each pixel of rough region, which can effectively exploit more redundancy during data embedding compared with conventional methods of prediction error expansion (PEE). Additionally, the pixel selection mechanism is applied to reduce the number of shifted pixels, which leads to high visual quality of stego image. Experimental results show that, our scheme can achieve better rate-distortion performance than some of state-of-the-art schemes.