Protection of faces in pictures and videos of people in connection with sensitive information, activism, abused cases and others on public broadcasting media and social networks is very important. On social networks like YouTube, Facebook, Twitter and others, videos are being posted with blurring techniques of which some of them cannot be recoverable. Most blurring techniques used can easily be recoverable using off-the-shelf software. The ones that are difficult to be recovered also can easily be used by abusers and other wrong doers. This paper proposes an image encryption technique that will make it possible for selected facial area to be encrypted based on RGB pixel shuffling of an m*n size image. This will make it difficult for off-the-shelf software to restore the encrypted image and also make it easy for the law enforcement agencies to reconstruct the face back in case the picture or video is related to an abuse case. The implementation of the encryption method will be done using MATLAB. At the end, there will be no change in the total size of the image during encryption and decryption process.
Finally, REF proposed an image encryption technique that selects facial areas and encrypts them using RGB pixel regrouping of an image of m x n size.
A cryptographic image encryption technique for facial-blurring of images
ArXiv
ArXiv
Computer Science