一元二次方程插值空间大容量可逆信息隐藏

Large Capacity Reversible Information Hiding Algorithm Based on One-Variate Quadratic Equation Interpolation Space

为解决现有可逆数据隐藏算法的隐藏容量和隐秘图像质量问题,提出一种基于一元二次方程插值空间的可逆信息隐藏算法。按照梯度预测性质将插值图像块分为边缘块和非边缘块,优先选择方差较小的分块嵌入信息,并运用一元二次方程插值算法OQEIAM和自适应梯度预测插值算法AGPIA隐藏非边缘块和边缘块信息。在SIPI数据集上的测试结果表明,该算法满载的平均容量ER高达4.0681bpp,已超过大部分同类算法,且具有较高的图像质量,过程中无附加信息、无数据溢出。所提方法显著提升在大容量可逆信息隐藏中的嵌入率和图像质量,为该领域提供一种新思路。

In order to solve the problems of hiding capacity and hidden image quality of existing reversible data hiding algorithms,a reversible information hiding algorithm based on univariate quadratic equation interpolation space is proposed.According to the gradient prediction property,the interpolated image block is divided into edge block and non edge block,and the block with small variance is preferentially selected to embed the information,and the univariate quadratic equation interpolation algorithm OQEIAM and adaptive gradient prediction interpolation algorithm AGPIA are used to hide the non edge block and edge block information.The test results on SIPI dataset show that the algorithm has a full load average capacity ER of 4.0681bpp,which is higher than most similar algorithms,and has high image quality,without additional information and data overflow in the process.The proposed method significantly improves the embedding rate and image quality in large capacity reversible information hiding,and provides a new idea for this field.