Data hiding method based on local image features

Publication Type:
Journal Article
Lecture Notes in Computer Science, 2012, 7669 pp. 247 - 256
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We propose a data hiding method with high embedding capacity and good fidelity. It is done by block classification, data embedding, and pixel adjustment. The image blocks are firstly divided into three categories: smooth block, edge block and textural block. Different secret bits are then adaptively embedded into different blocks in terms of the image types by using least-significant-bit (LSB) substitution. After data embedding, the changed pixels are adjusted to minimize distortion. Many experiments are conducted to validate the effectiveness of the proposed method.
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