[
    {
        "Name": "Copy Move Forgery",
        "Title": "Copy Move Forgery: Generative Model based Copy-Move Source and Target distinguishment for Digital and medical images.",
        "Experiment": "Modify the model to generate mask similar to ground truth mask. Use modified CNN and transformer to extract features for detection of Copy Move Forgery for digital and medical images.",
        "Interestingness": 7,
        "Feasibility": 4,
        "Novelty": 4,
        "novel": true
    },
    {
        "Name": "Copy Move Forgery",
        "Title": "Copy Move Forgery: A survey on deep learning based Copy Move Forgery for Digital and medical images.",
        "Experiment": "Read more than enough research papers to summarize all the contribution of different authors and make survey paper which uses deep learning model for detection of Copy Move Forgery for digital and medical images.",
        "Interestingness": 7,
        "Feasibility": 4,
        "Novelty": 4,
        "novel": true
    }
]