局域网环境下静态展品图像信息消除方法研究

Research on the Elimination of Static Display Image Information in LAN Environment

提出基于Arnold变换的静态展品图像信息消除方法,利用小波变换对含噪静态展品图像进行分解,通过椭圆方向窗来估计静态展品图像各个方向子带各点信号的方差;利用由子带能量自相关函数确定自适应窗来估计静态展品图像各个方向子带各点信号的方差,依据逆对偶数复小波变换对静态展品图像进行恢复,将静态展品图像分为多个互相不重叠的像素块,利用Arnold变换置乱静态展品图像的嵌入顺序,通过门限阈值划分静态展品图像像素块的等级,由不同的等级像素块中图像像素值的最大变化值确定嵌入秘密信息的最大范围.实验结果表明,所提方法具有较好的视觉掩蔽性,且在保持较高的图像信息消除容量,具有较强的抗攻击能力,消除速率增加显著.

The existence of information to eliminate the problem of inaccurate method to eliminate static exhibits image information based on Arnold transform is proposed. The decomposition of noisy exhibits static images using wavelet transform, to estimate the variance of the static image of each directional subband exhibits the signal through the elliptic directional window; using sub-band energy autocorrelation function to determine the adaptive window to estimate the variance of the static image of each directional subband exhibits the signal, according to inverse wavelet transform for even complex of static exhibits image restoration, the static display image into a plurality of pixel blocks do not overlap each other, static image scrambling exhibits embedded sequence using Arnold transform, threshold division by static exhibits image pixel block level, the biggest change by different levels of pixel blocks image pixel values to determine the maximum range of embedded the secret information. The experimental results show that the proposed method has better visual masking performance, and maintains high image information elimination capacity, and has strong anti attack ability, and the elimination rate is increased significantly.