基于灰度图像的像素量化隐写算法

A Pixel Quantization Steganography Algorithm Based on Gray Image

目的为了提高灰度图像处理的规模、嵌入量、安全性及鲁棒性,提出一种基于灰度图像的像素量化隐写算法。方法首先对载体图像进行Hilbert曲线扫描和图像像素量化,将量化信息产生的阈值区域准确地划分标记,然后分别对载体图像、待嵌入信息执行Hilbert置乱和D-S(data encryption security algorithm)数据加密处理,最后将加密后产生的秘密信息和相关辅助信息嵌入密文图像内。结果实验结果表明,该算法的嵌入率相较于原算法提升了10%,接收者能通过密钥解密获取原始信息,还原完整的载体图像。结论该隐写算法信息嵌入率高,鲁棒性和安全性较强。

The work aims to propose a pixel quantization steganography algorithm based on gray image, so as to improve the scale, embedding, security and robustness of gray image processing. Firstly, Hilbert curve scanning and image pixel quantization were performed on the carrier image, and the threshold region generated by the quantization information was accurately divided and marked. Then, Hilbert scrambling and D-S(data encryption security algorithm) data encryption processing were performed on the carrier image and the information to be embedded, respectively. Finally, the secret information generated after the encryption and the related auxiliary information were embedded in the ciphertext image. The experimental results showed that, the embedding rate of the proposed algorithm was increased by 10% compared with the original algorithm. The receiver could decrypt the original information and restore the complete carrier image through the key. The steganography algorithm has high information embedding rate and stronger robustness and security.