Recently, an edge adaptive image stegano- graphic method based on least significant bit (LSB) matching revisited (EA-LSBMR) has been proposed, which holds good visual quality and proper security under appropriate ...Recently, an edge adaptive image stegano- graphic method based on least significant bit (LSB) matching revisited (EA-LSBMR) has been proposed, which holds good visual quality and proper security under appropriate embedding rates. However, from the extensive experiments to EA-LSBMR, we find that the discrete Fourier transform (DFT) spectrum of pixelpairs differences histogram still reveals the presence of a secret message even in a low embedding rate. To enhance the security, a modified scheme is proposed in this paper, which can defeat the above-mentioned analysis and keep the visual quality better than EA-LSBMR in higher embedding rates. Experimental results using a latest universal steganalysis method have demonstrated the proposed method's good performance.展开更多
针对Video Block-Matching and 3-D Filtering(VBM3D)算法耗时高且去噪视频存在块效应的问题进行了改进。在对变换域系数进行收缩时,采用连续阶导数阈值法,代替原算法中的硬阈值法,减少块效应;在帧内匹配时,采用基于积分图思想的图像块...针对Video Block-Matching and 3-D Filtering(VBM3D)算法耗时高且去噪视频存在块效应的问题进行了改进。在对变换域系数进行收缩时,采用连续阶导数阈值法,代替原算法中的硬阈值法,减少块效应;在帧内匹配时,采用基于积分图思想的图像块距离计算加速方法;在帧间匹配时,使用帧间预测性匹配方法,减少计算量,提高算法效率。理论分析和实验结果表明,改进后的算法不仅能有效改善原VBM3D算法中的块效应,且算法复杂度大大降低。展开更多
基金supported in part by the National Science Foundation of China for Distinguished Young Scholars under Grant No. 61025013Sino-Singapore JRP under Grant No. 2010DFA11010+1 种基金National NSF of China under Grant No. 61073159Fundamental Research Funds for the Central Universities under Grant No. 2009JBZ006
文摘Recently, an edge adaptive image stegano- graphic method based on least significant bit (LSB) matching revisited (EA-LSBMR) has been proposed, which holds good visual quality and proper security under appropriate embedding rates. However, from the extensive experiments to EA-LSBMR, we find that the discrete Fourier transform (DFT) spectrum of pixelpairs differences histogram still reveals the presence of a secret message even in a low embedding rate. To enhance the security, a modified scheme is proposed in this paper, which can defeat the above-mentioned analysis and keep the visual quality better than EA-LSBMR in higher embedding rates. Experimental results using a latest universal steganalysis method have demonstrated the proposed method's good performance.
文摘针对Video Block-Matching and 3-D Filtering(VBM3D)算法耗时高且去噪视频存在块效应的问题进行了改进。在对变换域系数进行收缩时,采用连续阶导数阈值法,代替原算法中的硬阈值法,减少块效应;在帧内匹配时,采用基于积分图思想的图像块距离计算加速方法;在帧间匹配时,使用帧间预测性匹配方法,减少计算量,提高算法效率。理论分析和实验结果表明,改进后的算法不仅能有效改善原VBM3D算法中的块效应,且算法复杂度大大降低。