非负矩阵分解耦合环形区域分割的图像哈希认证算法

Image Hash authentication algorithm coupling annular region segmentation with nonnegative matrix decomposition

受到图像传输的限制,研究人员还未设计出同时具备较强安全性、鲁棒性,且行之有效的耦合环形区域分割的图像哈希认证算法。因此,提出非负矩阵分解耦合环形区域分割的图像哈希认证算法。所提算法利用高斯平滑滤波电路,除去图像中较为明显的噪音、调节图像亮度,并通过非负矩阵分解通过构建图像耦合环形区域预处理函数,对滤波后的图像进行耦合环形区域分割,完成图像的预处理。在图像的耦合环形区域进行图像哈希认证前,先对耦合环形区域分割结果进行归一化处理,对非负矩阵分解的分割结果进行归纳,减少算法运算量。算法根据归一化处理结果对图像哈希算法流程进行设计。经实验验证表明,所提算法具备较强的安全性和鲁棒性,对增强图像传输清晰度较为有效。

Since the researchers haven′t designed the high security and strong robustness image Hash authentication algo-rithm coupling the annular region segmentation effectively and the image transmission is restricted,an image Hash authentica-tion algorithm coupling annular region segmentation with nonnegative matrix decomposition is put forward.The Gaussian smooth-ing filtering circuit is utilized by the algorithm to remove the relatively-obvious noise in image and adjust the image brightness,and carry out the coupling annular region segmentation of the filtered image by means of the preprocessing function of the imagecoupling annular region with nonnegative matrix decomposition to fulfill the image preprocessing.Before the image Hash authenti-cation for the coupling annular region of the image,the normalization processing is conducted for the segmentation result of thecoupling annular region and the segmentation results of the nonnegative matrix decomposition is concluded to reduce the compu-tational complexity of the algorithm.The flow of the image Hash authentication algorithm is designed according to the normaliza-tion processing result.The experimental verification results show that the proposed algorithm has high security and strong robust-ness,and is effective to enhance the image transmission definition.