摘要
提出了一种基于小波包分解的彩色图像隐秘检测算法,算法中利用了一种彩色图像线性预测模型,根据小波包分解系数绝对值与线性预测值的对数误差生成特征向量,采用Fisher线性判别进行分类识别。实验证明此算法对彩色隐秘图像具有较高的识别率。
A new colour images steganography algorithm which based on wavelet packet decomposition is given.In the algorithm we use one colour images linear magnitude prediction model of wavelet packet decomposition coefficients,according as the log error between the actual coefficient and the predicted coefficient magnitudes yield statistics.These statistics form the feature vector,and then we take advantage of the Fisher liner discrimination to dlscriminate.The experimental results show that the algorithm has higher discriminating rate.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第17期35-37,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:60473029)
信息安全教育部重点实验室课题资助(编号:200409)
关键词
隐秘检测
小波包分解
彩色预测模型
steganography,wavelet packet decomposition,colour prediction model