Encryption face area in color images using Chaotic Maps

Abstract

This paper introduces a region-based selective image encryption technique using a chaotic approach. The aim is to address the growing need for secure face image transmission and storage in various applications where image information requires protection from unauthorized access. Existing image encryption schemes often rely on generating randomness in the image to hide the content, but they can be time-consuming during the encryption and decryption processes. Therefore, an efficient algorithm is crucial to ensure practicality and effectiveness. To tackle this challenge, the proposed technique focuses on selectively encrypting and reconstructing facial regions in images. By identifying the importance of face images in applications where security is critical, the proposed method offers a targeted approach to encryption. This selective encryption allows for improved efficiency in both encryption and decryption processes, reducing computational complexity and enhancing overall performance. The experiments demonstrate the successful encryption and reconstruction of face images, highlighting the preservation of facial details and the robustness of the encryption against attacks. These results confirm the suitability of the proposed technique for applications that require secure face image transmission and storage.