AHP validated literature review of forgery type dependent passive image forgery detection with explainable AI
نویسندگان
چکیده
Nowadays, a lot of significance is given to what we read today: newspapers, magazines, news channels, and internet media, such as leading social networking sites like Facebook, Instagram, Twitter. These are the primary wellsprings phony frequently utilized in malignant manners, for example, horde incitement. In recent decade, tremendous increase image information generation happening due massive use services. Various editing software Skylum Luminar, Corel PaintShop Pro, Adobe Photoshop, many others used create, modify images videos, significant concerns. A earlier work forgery detection was focused on traditional methods solve detection. Recently, Deep learning algorithms have accomplished high-performance accuracies processing domain, classification face recognition. Experts applied deep techniques detect too. However, there real need explain why categorized under forged understand algorithm’s validity; this explanation helps mission-critical applications forensic. Explainable AI (XAI) been interpret black box’s decision various cases. This paper contributes survey with approaches. It also focuses explainable images.
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems
سال: 2021
ISSN: ['2722-2578', '2722-256X']
DOI: https://doi.org/10.11591/ijece.v11i5.pp4489-4501