基于四元极谐变换矩与显著特征的图像鲁棒哈希算法

为了增强哈希序列对各种几何变换攻击的鲁棒性,设计基于四元极谐变换矩与显著特征的图像鲁棒哈希算法.引入线性插值与自适应Wiener滤波器,实现初始图像的预处理;计算预处理图像的颜色向量角度,并基于Fourier变换,得到其对应的幅度信息,以获取两个不同的频谱;计算两个频谱的残差,确定图像中的局部显著性区域;通过LBP算子...

ROBUST IMAGE HASHING ALGORITHM BASED ON QUATERNION POLAR HARMONIC TRANSFORM MOMENTS AND SALIENT FEATURES

In order to enhance the robustness of hash sequences against various geometric transformation attacks,a robust image hashing algorithm based on quaternion polar harmonic transformation moment and salient features is designed.Linear interpolation and adaptive Wiener filter were introduced to realize the pre-processing of the initial image.The amplitude information of preprocessed image was calculated based on Fourier transform to obtain two different spectrums.Then the residual of two spectra was calculated to determine the local saliency region in the image.And the salient features were extracted by using LBP operator.The QPHT moment of preprocessed image was obtained base on quaternion polar harmonic transformation.The transition hash array was formed by combining salient features with QPHT moments.Logistic map was introduced to define the encryption function for encrypting the transition hash array and outputting the final hash sequence,which enhanced its anti-collision performance.The l₂norm distance of the hash sequence between the source image and the suspicious image was measured,and the authenticity of the image was judged.The test under a variety of geometric transformation attacks is completed,and the output data shows that this algorithm has better robustness and recognition accuracy than the current Hash method with higher accuracy.