一种基于PCNN图像分割和LSB的自适应隐写

A adaptive steganographic method based on PCNN image segmentation and LSB

为了提高图像LSB隐写时的嵌入容量与视觉质量,结合图像的位面图内容特性,提出了一种基于图像PCNN分割的LSB自适应隐写方案.该方案对图像的前4个位面图分别进行PCNN图像分割,并计算分割结果之和,以此作为各像素可以嵌入的秘密信息比特数,然后采用LSB方法进行隐写.实验结果表明,该算法具有较好的视觉隐蔽性和较高的数据嵌入量,而且不需要存储额外的嵌入深度信息.

In order to improve the embedding capacity and visual quality in image LSB steganographic,combining with the character of covers biplanes,a novel LSB steganographic embedding based on PCNN image segmentation is presented.The method extracts the first 4plane images and partitions by way of PCNN method,then adds the 4segmentation as the number of embedded for every pixel and embed secret information with LSB.Experimental results show that the proposed method not only provides better visual quality and higher payload,but also does not save the embedding length data.