C/Python混合编程下高质量信息隐藏研究与实现

Research and Implementation of High Quality Information Hiding in C/Python Mixed Programming

摘要: C++在处理信息隐藏算法时具有高效的内存管理和快速执行速度，而Python则在数据处理和脚本编写方面表现出极高的易用性和灵活性。为了融合二者的优势，平衡计算性能与开发效率，本文提出了一种基于Ctypes技术的C/Python混合编程下高质量信息隐藏方案。该方案的核心贡献在于实现方式的创新：首先利用C++语言设计并实现了基于离散傅里叶变换(DFT)的信息隐藏算法，并引入基于人类视觉系统(HVS)模型的自适应嵌入策略增强其性能，然后将其编译为高效率、可移植的动态链接库(DLL)；随后，借助Ctypes技术将DLL文件与Python程序深度融合，成功实现了在彩色图像上信息隐藏的精准嵌入与高效提取。本方法不仅验证了将C++编写的高性能信息隐藏算法移植到Python平台的可行性，而且在嵌入的鲁棒性、提取的准确性和算法运行效率等方面均展现出较好性能。这为信息隐藏技术在不同编程环境中的灵活应用提供了一种高效、可靠的解决方案。

Abstract: Processing information hiding algorithms, C++ has efficient memory management and fast execution speed, while Python shows high ease of use and flexibility in data processing and scripting. In order to integrate the advantages of the two and balance the computing performance and development efficiency, this paper proposes a high-quality information hiding scheme based on Ctypes technology in C/Python mixed programming. The core contribution of the scheme lies in the innovation of the implementation method: firstly, the information hiding algorithm based on discrete Fourier transform (DFT) is designed and implemented by using C++ language, and the adaptive embedding strategy based on human visual system (HVS) model is introduced to enhance its performance, and then it is compiled into an efficient and portable dynamic link library (DLL); Subsequently, with the help of ctypes technology, DLL files and python programs are deeply integrated, and the accurate embedding and efficient extraction of information hiding on color images are successfully realized. This method not only verifies the feasibility of transplanting the high-performance information hiding algorithm written in C++ to the Python platform, but also shows good performance in the robustness of embedding, the accuracy of extraction and the efficiency of the algorithm. This provides an efficient and reliable solution for the flexible application of information hiding technology in different programming environments.