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3 produkter
3 produkter
535 kr
Skickas inom 10-15 vardagar
With its mathematically rigorous presentation, this book is a detailed treatment of the approach from an inverse problems point of view. It is geared towards graduate students and researchers in applied mathematics and can serve as a text for graduate courses.
535 kr
Skickas inom 10-15 vardagar
This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.
1 305 kr
Kommande
Many problems in science, engineering and medicine follow an inverse approach to problem by observations the output data to calculate or predict the inputs should be to generated the responses: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth from measurements of its gravity field. Recent advance in deep learning-based algorithms has emerged as a novel paradigm for image processing.This book compiles the state-of-the-art approaches for solving inverse problems by deep learning; from basic concepts to deep learning and algorithms in image processing. It serves as an introduction to researchers working in image processing, and pattern recognition as well as students undertaking research in signal processing and AI.The book will include the following: