Reversible Difference Expansion Embedding Using Two Edge Directions

Wen-Chuan Wu, Wei-Teng Wong, Zi-Wei Lin
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引用次数: 1

Abstract

Difference expansion is a very important technique in reversible data hiding field. Reversibility allows secret message to be completely recovered without any distortion after data extraction. Specifically, difference expansion embedding performs integer transform in a difference image which is acquired by grouping two neighboring pixel values. This paper proposes an improved reversible difference expansion embedding scheme. The main idea of this scheme is to consider edge direction to decrease the difference of two neighboring pixels values. In general, the larger difference tends to bring a degraded stego-image quality than the smaller difference. Experimental results showed that the proposed scheme improves image quality of PSNR from 0.5 to 3.7 dB in average. At the same time, the performance for payload is almost constant in comparisons with previous method.
基于两个边缘方向的可逆差分展开嵌入
差分展开是可逆数据隐藏领域中非常重要的技术。可逆性允许秘密信息在数据提取后完全恢复而没有任何失真。具体来说,差分展开嵌入是对相邻两个像素值分组获得的差分图像进行整数变换。提出了一种改进的可逆差分展开嵌入方案。该方案的主要思想是考虑边缘方向,减小相邻两个像素值的差异。一般来说,较大的差异比较小的差异更容易导致图像质量下降。实验结果表明,该方案将图像质量提高了0.5 ~ 3.7 dB。同时,与以前的方法相比,有效载荷的性能几乎不变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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