当前位置:
X-MOL 学术
›
Signal Process.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Rate-Distortion Model for Grayscale-Invariance Reversible Data Hiding
Signal Processing ( IF 4.4 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.sigpro.2020.107562 Siyan Zhou , Weiming Zhang , Chaomin Shen
Signal Processing ( IF 4.4 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.sigpro.2020.107562 Siyan Zhou , Weiming Zhang , Chaomin Shen
Abstract Recently, a novel scheme called grayscale-invariance reversible data hiding (RDH) has been developed, in which the generated color marked image will have the same grayscale as that of the host color image. Due to the property of grayscale invariance, for many cases, the further applications and image processing of the marked image will not be interfered with. However, the performance of current grayscale-invariance RDH is unsatisfactory, and the corresponding theoretical model is also lacking. For grayscale-invariance RDH, the modifications of the three color channels are interrelated. By decomposing the joint modification and associating the modification distortions of the green scales and blue scales with those of the red scales, we first approximate the modification-independent rate-distortion model for grayscale-invariance RDH. Subsequently, the optimal transition probability matrix can be estimated, according to which we implement the theoretically proven optimal modification, i.e., recursive code construction (RCC), to finish message embedding. The experimental results show that the presented method extends the applications of RCC and can significantly improve the performance of grayscale-invariance RDH.
中文翻译:
灰度不变可逆数据隐藏的率失真模型
摘要 最近,已经开发了一种称为灰度不变可逆数据隐藏(RDH)的新方案,其中生成的彩色标记图像将具有与宿主彩色图像相同的灰度。由于灰度不变的特性,在很多情况下,标记图像的进一步应用和图像处理不会受到干扰。然而,目前灰度不变的RDH的性能并不尽如人意,也缺乏相应的理论模型。对于灰度不变的 RDH,三个颜色通道的修改是相互关联的。通过分解联合修改并将绿色尺度和蓝色尺度的修改失真与红色尺度的修改失真相关联,我们首先近似了灰度不变性RDH的与修改无关的速率失真模型。随后,可以估计出最优转移概率矩阵,我们根据该矩阵实现理论上证明的最优修改,即递归代码构造(RCC),以完成消息嵌入。实验结果表明,所提出的方法扩展了 RCC 的应用范围,可以显着提高灰度不变 RDH 的性能。
更新日期:2020-07-01
中文翻译:
灰度不变可逆数据隐藏的率失真模型
摘要 最近,已经开发了一种称为灰度不变可逆数据隐藏(RDH)的新方案,其中生成的彩色标记图像将具有与宿主彩色图像相同的灰度。由于灰度不变的特性,在很多情况下,标记图像的进一步应用和图像处理不会受到干扰。然而,目前灰度不变的RDH的性能并不尽如人意,也缺乏相应的理论模型。对于灰度不变的 RDH,三个颜色通道的修改是相互关联的。通过分解联合修改并将绿色尺度和蓝色尺度的修改失真与红色尺度的修改失真相关联,我们首先近似了灰度不变性RDH的与修改无关的速率失真模型。随后,可以估计出最优转移概率矩阵,我们根据该矩阵实现理论上证明的最优修改,即递归代码构造(RCC),以完成消息嵌入。实验结果表明,所提出的方法扩展了 RCC 的应用范围,可以显着提高灰度不变 RDH 的性能。