Advances in information security, privacy, and ethics book series, Год журнала: 2024, Номер unknown, С. 117 - 142
Опубликована: Дек. 6, 2024
With the proliferation of digital evidence in cybersecurity and forensic investigations, image denoising has become essential for accurate analysis, where high-quality visuals are critical identifying threats verifying information. This chapter explores advanced AI-driven techniques denoising, emphasizing role deep learning, convolutional neural networks (CNNs), generative models to enhance clarity. By leveraging artificial intelligence, these methods adaptively reduce noise while preserving features, improving both efficiency reliability processes. Our examination includes a comparative analysis traditional versus AI-based approaches, assessing their applicability effectiveness within environments. ultimately aims provide comprehensive overview cutting-edge AI that refine quality, supporting better decision-making complex, data-rich scenarios.
Язык: Английский