This book outlines the principles of linear inverse problems, methods of their approximate solution and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book accessible to newcomers. Mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory, and Fourier analysis. The authors concentrate on presenting easily implementable and fast-solution algorithms. The book provides the appropriate background for a clear understanding ...
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This book outlines the principles of linear inverse problems, methods of their approximate solution and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book accessible to newcomers. Mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory, and Fourier analysis. The authors concentrate on presenting easily implementable and fast-solution algorithms. The book provides the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure), and consequently, for an intelligent assessment of the rapidly growing literature on these problems.
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Add this copy of Introduction to Inverse Problems in Imaging to cart. $58.23, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2024 by CRC Press.
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