Encryption face area in color images using Chaotic Maps

Imane Kouadra, Mehamal Bouchra, T. Bekkouche, Lahcene Ziet
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Abstract

This paper introduces a region-based selective image encryption technique using a chaoticapproach. The aim is to address the growing need for secure face image transmission and storage in variousapplications where image information requires protection from unauthorized access. Existing imageencryption schemes often rely on generating randomness in the image to hide the content, but they can betime-consuming during the encryption and decryption processes. Therefore, an efficient algorithm is crucialto ensure practicality and effectiveness. To tackle this challenge, the proposed technique focuses onselectively encrypting and reconstructing facial regions in images. By identifying the importance of faceimages in applications where security is critical, the proposed method offers a targeted approach toencryption. This selective encryption allows for improved efficiency in both encryption and decryptionprocesses, reducing computational complexity and enhancing overall performance. The experimentsdemonstrate the successful encryption and reconstruction of face images, highlighting the preservation offacial details and the robustness of the encryption against attacks. These results confirm the suitability ofthe proposed technique for applications that require secure face image transmission and storage.
使用混沌地图加密彩色图像中的人脸区域
介绍了一种基于混沌的区域选择性图像加密技术。其目的是解决在各种需要保护图像信息免遭未经授权访问的应用中对安全人脸图像传输和存储日益增长的需求。现有的图像加密方案通常依赖于在图像中生成随机性来隐藏内容,但它们在加密和解密过程中可能非常耗时。因此,一个高效的算法是保证其实用性和有效性的关键。为了解决这一挑战,所提出的技术侧重于选择性地加密和重建图像中的面部区域。通过识别面部图像在安全性至关重要的应用程序中的重要性,所提出的方法提供了一种有针对性的加密方法。这种选择性加密允许提高加密和解密过程的效率,降低计算复杂性并增强整体性能。实验证明了该算法对人脸图像进行了成功的加密和重建,突出了对面部细节的保留和加密对攻击的鲁棒性。这些结果证实了所提出的技术适用于需要安全面部图像传输和存储的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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