In this article, based on wavelet reconstruction and fractal dimension, a medical image authentication method is implemented. According to the local and global methods, the regularity of the mutation structure in the carrier information is analyzed through a measurement defined in the medical image transformation domain. To eliminate the redundancy of the reconstructed data, the fractal dimension is used to reduce the attributes of the reconstructed wavelet coefficients. According to the singularity of the fractal dimension of the block information, the key features are extracted and the fractal feature is constructed as the authentication feature of the images. The experimental results show that the authentication scheme has good robustness against attacks, such as JPEG compression, multiplicative noise, salt and pepper noise, Gaussian noise, image rotation, scaling attack, sharpening, clipping attack, median filtering, contrast enhancement, and brightness enhancement.

本文基于小波重构和分形维数，实现了医学图像认证方法。根据局部和全局方法，通过在医学图像变换域中定义的测量来分析携带者信息中突变结构的规律性。为了消除重建数据的冗余，使用分形维数来减少重建小波系数的属性。根据块信息的分形维数的奇异性，提取关键特征并将分形特征构造为图像的认证特征。实验结果表明，该认证方案对JPEG压缩，乘法噪声，盐和胡椒噪声，高斯噪声，