Artificial Intelligence in Digital Holographic Imaging 1st Edition

Capture the future of imaging with Artificial Intelligence in Digital Holographic Imaging, 1st Edition by Inkyu Moon. This authoritative work immediately draws you into a rapidly evolving intersection of holography and machine learning, offering a clear, modern roadmap for researchers, engineers, and advanced students.

Inside, Moon combines rigorous theory with practical insight: foundational principles of digital holography, contemporary AI and deep learning techniques tailored for holographic reconstruction, denoising, phase retrieval, and quantitative imaging. Rich examples and comparative analyses illuminate how neural-network-based methods outperform traditional algorithms in speed, robustness, and accuracy—making this book indispensable for those developing next-generation microscopes, biomedical imaging systems, and industrial inspection tools.

Designed for an international audience, the text bridges academic research and real-world applications—helping university labs, R&D teams, and imaging professionals worldwide translate complex concepts into working solutions. Clear diagrams, step-by-step derivations, and real experimental case studies make advanced topics accessible without sacrificing technical depth.

Whether you’re seeking to enhance diagnostic imaging, refine optical metrology, or explore computational holography, Moon’s treatment equips you with the frameworks and critical thinking needed to innovate. Thoughtfully organized and forward-looking, this 1st edition is both a classroom companion and a reference for cutting-edge projects.

Bring precision and intelligence to your imaging work—discover Artificial Intelligence in Digital Holographic Imaging by Inkyu Moon and lead the next wave of holographic innovation.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.