A Study of Machine Learning and Deep Learning Algorithms for Deep Fake Images Prediction
Padmavati E. Gundgurti, Vilas Baburao Khedekar · 2024
Recent developments in synthetic data have made it feasible to develop high-quality images in a way that humans cannot recognize the difference between images generated through Artificial Intelligence (AI) and real-time images. AI and Machine Learning (ML) in general have shown impressive results recently in a variety of tasks including natural image processing, particularly with the development of Deep Learning (DL). Particularly, image classification in medical images requires a high degree of accountability and reliability. However, previous researches require further analysis, often with a better understanding of the image classification process. To identify and categorize images as either synthetic or natural, this review offers a variety of ML and DL techniques. This survey looks at developments in digital imagery to strengthen these AI systems and increase their ability to perform effectively.