Image Hiding by Non-uniform Generalized LSB and Dynamic Programming

Guangjie Liu, Yue-wei Dai, Jinwei Wang, Zhiquan Wang, Shiguo Lian
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引用次数: 2

Abstract

A novel steganographic method based on non-uniform generalized LSB is proposed. Different from the traditional distortion measure MSE and PSNR, the structural-similarity based image quality assessment is used to measure the distortion caused by the data hiding. With the given maximum allowable distortion, dynamic programming is performed to find the optimum substitution depth vector to achieve the maximum capacity. Experiments show the proposed method can achieve higher embedding payload while keeping smaller distortion
基于非均匀广义LSB和动态规划的图像隐藏
提出了一种基于非均匀广义LSB的隐写方法。与传统的失真测量方法MSE和PSNR不同,基于结构相似度的图像质量评估方法用于测量数据隐藏造成的失真。在给定最大允许变形量的情况下,进行动态规划,求出最大容量的最优替代深度向量。实验表明,该方法可以在保持较小失真的情况下获得较高的嵌入载荷
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