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    基于数字图像三角形剖分的信息伪装算法

    A Scheme for Steganography Based on Triangular Partition of Digital Images

    • 摘要: 提出按像素的灰度值作图像区域非均匀剖分的思想,并利用这种思想实现了一种信息伪装算法.视像素的灰度值为拟合数据,用最小二乘法作数据拟合,得到数字图像的自适应非均匀剖分算法,并以图像的非均匀三角剖分为例给出了详细剖分过程.将保密图像的三角剖分信息用四进制数记录,并对公开的数字图像作相同的剖分,将剖分信息及保密图像的灰度信息隐藏于公开的图像中,利用三角形剖分下图像的重构,即得到一种图像信息伪装新算法,其突出优点在于极大地降低了编码和解码的时间.通过不同类型图例的实验,表明带隐藏数据的伪装图像不易被察觉带有隐藏信息, 并且重构图像的质量较好,是一种可行的信息伪装新算法.

       

      Abstract: Proposed in this paper is a non-uniform partition scheme for digital images, by which the digital image region is triangulated based on the gray value of pixels. A steganography algorithm is obtained using this partition method. Fitting the given data, the gray value of the pixels with the least squares method, a self-adaptive non-uniform partition algorithm is realized. The detailed non-uniform triangulation process for an image is shown. Recording the triangulation information of the secret image as quatemary number, triangulating the carrier digital image accordingly and embeding the triangulation information and gray information of the secret image into the carrier digital image. A new steganography algorithm is obtained by utilizing the image reconstruction under triangulation. Saving coding and decoding time is its outstanding advantages. The new algorithm is applied on several kinds of images, and it is shown that the hidden data in camouflage image is difficult to perceived, the reconstruction image is satisfying, and the new algorithm is feasible.

       

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