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.
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