{"product_id":"introduction-to-inverse-problems-in-imaging-paperback","title":"Introduction to Inverse Problems in Imaging - Paperback","description":"\u003cp\u003eby \u003cb\u003eM. Bertero\u003c\/b\u003e (Author), \u003cb\u003eP. Boccacci\u003c\/b\u003e (Author), \u003cb\u003eChristine de Mol\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFully updated throughout and with several new chapters, this second edition of\u003cb\u003e \u003ci\u003eIntroduction to Inverse Problems in Imaging\u003c\/i\u003e\u003c\/b\u003e guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to methods of their approximate solution and their practical applications in imaging. \u003c\/p\u003e\u003cp\u003eThis second edition contains new chapters on edge-preserving and sparsity-enforcing regularization in addition to maximum likelihood methods and Bayesian regularization for Poisson data.\u003c\/p\u003e\u003cp\u003eThe level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of students from different backgrounds, with readers needing just a rudimentary understanding of analysis, geometry, linear algebra, probability theory, and Fourier analysis. \u003c\/p\u003e\u003cp\u003eThe authors concentrate on presenting easily implementable and fast solution algorithms, and this second edition is accompanied by numerical examples throughout. It will provide readers with the appropriate background needed 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. \u003c\/p\u003e\u003cp\u003eKey features: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProvides an accessible introduction to the topic while keeping mathematics to a minimum \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eInterdisciplinary topic with growing relevance and wide-ranging applications \u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eAccompanied by numerical examples throughout\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMario Bertero is a Professor at the Universit? di Genova. \u003cbr\u003ePatrizia Boccacci is a Professor at the Universit? di Genova. \u003cbr\u003eChristine De Mol is a Professor at the Universit? libre de Bruxelles.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 342\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.74 x 10 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 29, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42734055424063,"sku":"9780367467869","price":132.17,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/3ef3e6858d639ac75c5748b5028cde71.webp?v=1765138481","url":"https:\/\/dhlswag.com\/products\/introduction-to-inverse-problems-in-imaging-paperback","provider":"BBB","version":"1.0","type":"link"}