基于倾斜直方图和跨通道相关的彩色图像可逆数据隐藏方案

Priyansh Bhatnagar, Prateek Tomar, Rishabh Naagar, Raj Kumar
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引用次数: 0

摘要

可逆数据隐藏(RDH)是一种不可检测的通信技术,可以在提取图像中隐藏的秘密数据后恢复原始封面图像。它被广泛应用于军事、医疗等多个领域。到目前为止,已经开发了各种RDH来增加隐藏数据的数量,同时保持其质量。然而,传统的嵌入容量与图像质量权衡的问题仍然存在。为此,我们提出了一种新的基于偏态直方图和跨通道相关的彩色图像RDH方法。偏斜直方图是在极端预测器的帮助下生成的,通过仅结合峰值和短尾的像素,有助于实现更少的失真。此外,该方法根据每个信道的特征对秘密数据(或有效载荷)进行分割,以便利用最平滑的信道进行嵌入,从而进一步减少引起的失真和增加EC。此外,在图像复杂区域的嵌入是借助更全面的预测器来完成的,该预测器还考虑了各种可能的边缘。因此,与相关的和现有的彩色图像RDH方法相比,该方法在获得更好的隐写图像质量的同时获得了更高的EC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reversible Data Hiding scheme for color images based on skewed histograms and cross-channel correlation
Reversible data hiding (RDH) is an undetectable communication technology that enables restoration of the original cover image after extracting the hidden secret data from the image. It's being widely used in sevaral fields such as military, medical, etc,. Till date, various RDH have been developed to increase the amount of hidden data while maintaining their quality. However, the problem of traditional trade-off between the embedding capacity (EC) and image quality still persists. For this, we propose a new RDH method for color images based on skewed histograms and cross-channel correlation. The skewed histogram is generated with the help of extreme predictors, aids in achieving less distortion by only incorporating pixels from the peak and short tail. Further, the proposed method splits the secret data (or payload) based on each channel's characteristics so that the most smooth channel can be exploited for embedding to further benefit in reducing the caused distortion and increasing the EC. Moreover, embedding in the complex regions of images is done with the help of more comprehensive predictor which also takes into account various possible edges. Thus, the proposed method achieves greater EC with better quality stego-images than the related and existing RDH methods for color images.
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