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@article{187412,
        author = {Rashmi Raman and Damini Thakur and P.N. Ramakrishnan},
        title = {GENERATIVE AI TECHNIQUES IN IMAGE PROCESSING AND EMERGING FORENSIC CHALLENGES: A REVIEW},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {6822-6830},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187412},
        abstract = {Image verification and authentication play a very important role in forensic science, since digital images are frequently being misused/exploited with the help of Generative artificial intelligence. AI-based technologies can easily fabricate digital data leading to criminal cases, civil disputes, and intelligence work. Original images are often altered/ morphed /doctored/tampered with advanced machine learning technologies. In legal proceedings, validating the authenticity of the original image in the court of law is very crucial to maintain integrity of evidence. The capabilities of image processing have been greatly improved by recent advancements in artificial intelligence (AI), overcoming earlier limitations. The traditional image editing/morphing methods used by the criminals were easier to decipher by the forensic experts. However, the growing complexity of AI-driven image creation and editing tools both open source and paid tools, presents significant challenges for digital image forensics. The present paper envisages the forensic challenges brought on by AI-generated images, developments in deep learning approaches, such as diffusion models and generative models like GANs, as well as the potential implementations for future research & development of integrated tools to identify image tampering and modification. These technologies, particularly Generative Adversarial Networks (GAN) and diffusion model play a dual role in image forensics, both as a tool for creating highly realistic images such as AI-edited or morphed images, deepfakes, and synthetic media etc. This paper will also help to understand the risks of adversarial attack while describing the new forensic challenges, emphasises the most recent AI methods in image processing, and offers suggestions for future research to address these problems.},
        keywords = {Artificial Intelligence, deep fakes, GANs, morphed, Nano banana, tampered.},
        month = {November},
        }