عنوان المقالة: A NEW MANIPULATION DETECTION AND LOCALIZATION SCHEME FOR DIGITAL FACE IMAGES
أ د خميس عواد زيدان | Khamis A. Zidan | 10958
نوع النشر
مجلة علمية
المؤلفون بالعربي
المؤلفون بالإنجليزي
ZAHRAA AQEEL SALIH, RASHA THABIT, KHAMIS A. ZIDAN
الملخص الانجليزي
Recently, the research community spent a lot of effort to present face image manipulation detection techniques, however, all the available schemes have their own limitations and there is no global detection scheme. To avoid the problems that can face the deep-learning based techniques, we suggest another direction of research to implement a new Face Image Manipulation Detection (FIMD) scheme which is based on face detection and image watermarking techniques. The proposed FIMD scheme at the sender side has two stages where the first stage is applied to detect and select the face area and the second stage is applied to generate and embed the manipulation detection and localization data. The proposed FIMD scheme at the receiver side has also two stages where the first stage is applied to detect and select the face area and the second stage is applied to extract the embedded data and check the authenticity of the received face image. The experiments that have been conducted to check the performance of the proposed FIMD scheme proved its efficiency in detecting different types of face manipulations such as face swap, expression swap, attribute attacks, and retouching attacks. The detection accuracy is 100 % and no false detection results have been recorded, in addition, the scheme obtained promising results in terms of visual quality of the watermarked face images and high embedding capacity. The general comparison with the state-of-the-art detection schemes proved the superiority of the proposed FIMD scheme.
تاريخ النشر
01/04/2023
الناشر
Journal of Engineering Science and Technology
رقم المجلد
18
رقم العدد
2
رابط الملف
تحميل (1 مرات التحميل)
رابط خارجي
https://www.academia.edu/100692733/A_NEW_MANIPULATION_DETECTION_AND_LOCALIZATION_SCHEME_FOR_DIGITAL_FACE_IMAGES
الكلمات المفتاحية
DeepFakes reveal, Face image security, Face manipulation detection, Face manipulation localization, Multimedia forensics.
رجوع