基于边缘匹配与最低有效位的图像隐写方法

摘要

This paper presents an image steganographic method based on SM and Least Significant Bit(LSB). According to human visual characteristic, it divides an image into smooth area, transition area, and edged area by the difference value of neighboring pixels. It uses different bits LSB substitution in three areas above. Experimental results show that the proposed method provides larger embedding capacity and maintains a high visual quality of stego-image.%提出一种基于边缘匹配与最低有效位的图像隐写方法.根据人类视觉特性,利用像素与其相邻像素间的像素差值,将图像分为平滑区、过渡区、边缘区,在3个区域中分别采用不同比特数的最低有效位进行嵌入.实验结果表明,该方法能增加图像嵌入容量并可保持较高的载密图像质量.