| 書目名稱 | Mathematical Image Processing |
| 編輯 | Kristian Bredies,Dirk Lorenz |
| 視頻video | http://file.papertrans.cn/627/626179/626179.mp4 |
| 概述 | The book sets out pragmatically and sensibly to introduce to the fast field of mathematical techniques in solving many specific problems in image processing.Covers also more recent methods based on PD |
| 叢書名稱 | Applied and Numerical Harmonic Analysis |
| 圖書封面 |  |
| 描述 | This book addresses the mathematical aspects of modern image processing methods, with a special emphasis on the underlying ideas and concepts. It discusses a range of modern mathematical methods used to accomplish basic imaging tasks such as denoising, deblurring, enhancing, edge detection and inpainting. In addition to elementary methods like point operations, linear and morphological methods, and methods based on multiscale representations, the book also covers more recent methods based on partial differential equations and variational methods..Review of the German Edition:?The overwhelming impression of the book is that of a very professional presentation of an appropriately developed and motivated textbook for a course like an introduction to fundamentals and modern theory of mathematical image processing. Additionally, it belongs to the bookcase of any office where someone is doing research/application in image processing. It has the virtues of a good and handy reference manual. (zbMATH, reviewer: Carl H. Rohwer, Stellenbosch). |
| 出版日期 | Textbook 2018 |
| 關(guān)鍵詞 | interpolation; image processing; fourier analysis; interpolation; smoothing and sharpening methods; image |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-01458-2 |
| isbn_ebook | 978-3-030-01458-2Series ISSN 2296-5009 Series E-ISSN 2296-5017 |
| issn_series | 2296-5009 |
| copyright | Springer Nature Switzerland AG 2018 |
|Archiver|手機版|小黑屋|
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