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 4 plane images and partitions by way of PCNN method , then adds the 4 segmentation 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 .
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