Artificial Intelligence in Image Processing

Artificial Intelligence in Image Processing: Concepts, Techniques, and Applications provides a comprehensive exploration of how AI revolutionizes the field of digital imaging. It starts by tracing the evolution of image processing from manual techniques to advanced AI-driven methods. The book introduces foundational concepts in both image processing and AI, and covers key techniques including CNNs, GANs, RNNs, transfer learning, and autoencoders. It addresses core applications such as classification, segmentation, enhancement, 3D imaging, and medical diagnostics. Real-world case studies across healthcare, industry, and surveillance illustrate practical deployments. Ethical considerations, technical challenges, and future trends-including edge computing, AR/VR integration, and human-AI collaboration-are also examined, making this book an essential guide for students, researchers, and professionals in the AI and imaging domains.

Autorentext

Dr. Sharon Susan Jacob is working as Assistant professor in the School of Data Analytics, Mahatma Gandhi University. She completed her graduation, post-graduation and doctorate in computer science and engineering from Mahatma Gandhi University. Her prime interests are in the areas of Big Data Analytics, Deep Learning, Python Coding and Data Mining.