【作者】 刘晓文； 尤新刚；

【Author】 Liu Xiaowen and You Xingang (Beijing Institute of Electronic Technology and Application,Beijing 100091)

【机构】 北京电子技术应用研究所；

【摘要】 针对信息隐藏不可见性评价方法的匮乏及现有方法的不准确性,设计了一种基于人眼视觉冗余和误差分布的评价方法.该方法首先考虑人眼对于色彩的掩蔽特性及边缘、纹理和平滑等不同区域的视觉效果,对误差图像进行不同程度的加权,然后利用改进的均方差计算信息隐藏对图像各分块造成的视觉影响,最后使用Minkowsky度量综合局部偏差得到整体评价.实验结果证明,该方法结果直观,评价正确,各方面性能均超过现有的评价方法.更多还原

【Abstract】 Due to the lack of the imperceptibility assessment of steganography and the inveracity of current methods,a new measure based on visual redundancy and error distribution is proposed. According to the masking of color and different regions such as edge,texture,and flatness on human vision,the error image is weighted separately.By an improved unbiased variance,the visual effect resulting from steganography is computed in small blocks.Furthermore,the total assessment is achieved from local deviation by Minkowsky metric.The open-and-shut results prove the legitimacy of the proposed method,which outperforms the existing methods.更多还原