Introduction to inverse problems in imaging
- 作者: Bertero, Mario.
- 其他作者: Boccacci, Patrizia.
- 出版: Bristol, UK ;Philadelphia, Pa. : Institute of Physics Pub. ©1998.
- 稽核項: 1 online resource (xi, 351 pages) :illustrations.
- 標題: TECHNOLOGY & ENGINEERING , TECHNOLOGY & ENGINEERING Mechanical. , Image processing Mathematics. , Mechanical. , Mathematics. , Mathématiques. , Electronic books. , Traitement d'images Mathématiques. , Traitement d'images , Inverse problems (Differential equations) , Image processing , Problèmes inverses (Équations différentielles)
- ISBN: 1439822069 , 9781439822067
- ISBN: 9780750304399 , 0750304391 , 9780750304351 , 0750304359
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Chapter 1 Introduction -- chapter 2 Some mathematical tools -- chapter 3 Examples of image blurring -- chapter 4 The ill-posedness of image deconvolution -- chapter 5 Regularization methods -- chapter 6 Iterative regularization methods -- chapter 7 Statistical methods -- chapter 8 Examples of linear inverse problems -- chapter 9 Singular value decomposition (Svd) -- chapter 10 Inversion methods revisited -- chapter 11 Fourier-based methods for specific problems -- chapter 12 Comments and concluding remarks.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=27455
- 系統號: 005289477
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
This is a graduate textbook on 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 suitable for a wide range of readers from different backgrounds in science and engineering. 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. With examples and exercises throughout, the book will provide the reader with 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.
來源: Google Book
來源: Google Book
評分