Image-Forgery-Detection-Using-Deep-Learning

• Implemented Deep Learning Models Using Image Processing Techniques for the Image Forgery Detection.
• Built a TensorFlow Sequential Model with ELA(Error Level Analysis) Pre-Processing Techniques and Used Transfer Learning based Pretrained Models VGG16 and VGG19 to detect Image Forgery in JPEG Images.
• Analyzed and detected the Image Tampering "Copy_move" forgery and Image Splicing in JPEG(lossy format) Images.
• Compared the 3 Models to gain a deeper understanding of their performance.