摘要： 针对现有信息安全领域隐写技术存在的感知失真大和图像误差率高问题,设计一种基于Karhunen-Loeve变换(KLT)优化的图像隐写技术。引入KLT算法压缩图像数据,用最低有效位代替加密数据,结合原始像素矩阵获得有效的图像信息。实验结果表明,与常用算法相比,该算法
的嵌入容量与信噪比较高,提取到的图像数据失真较小。
关键词:
信息安全,
隐写技术,
Karhunen-Loeve变换,
最低有效位,
嵌入容量
Abstract: For the problem of perceptual distortion is too large and the high image error rate exists in steganography technology of the current information security area,an image steganography based Karhunen-Loeve Transform(KLT) optimization technology is designed.This method introduces KLT algorithm to compress the image data,instead of the encrypting data with the Least Significant Bit(LSB),and a matrix of pixel levels is introduced to obtain an effective image information.Experimental results show that this algorithm improves capacity,higher Signal-to-Noise Ratio(SNR) and smaller image data distortion,compared with the commonly used algorithms in terms of volume.
Key words:
information security,
steganography technology,
Karhunen-Loeve Transform(KLT),
Least Significant Bit(LSB),
embedding capacity
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