Deep Learning for Computational Imaging

This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusses robustness aspects, how to evaluate and test different methods, and data-centric aspects.

Summary

This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusses robustness aspects, how to evaluate and test different methods, and data-centric aspects.

Product details

• Authors: Reinhard Heckel, Prof Reinhard (Professor of Machine Learni Heckel
• Publisher: Oxford University Press
• Content: Book
• Product form: Paperback / Softback
• Publication date: 30.04.2025
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communication
• EAN: 9780198947189
• ISBN: 978-0-19-894718-9
• Pages: 240
• Subjects: MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Telecommunications, COMPUTERS / Machine Theory, Mathematical theory of computation, Applied mathematics, Electronics & Communications Engineering, Electronics and communications engineering