| 書目名稱 | Iterative Identification and Restoration of Images |
| 編輯 | Reginald L. Lagendijk,Jan Biemond |
| 視頻video | http://file.papertrans.cn/477/476568/476568.mp4 |
| 叢書名稱 | The Springer International Series in Engineering and Computer Science |
| 圖書封面 |  |
| 描述 | One of the most intriguing questions in image processing is the problem of recovering the desired or perfect image from a degraded version. In many instances one has the feeling that the degradations in the image are such that relevant information is close to being recognizable, if only the image could be sharpened just a little. This monograph discusses the two essential steps by which this can be achieved, namely the topics of image identification and restoration. More specifically the goal of image identifi- cation is to estimate the properties of the imperfect imaging system (blur) from the observed degraded image, together with some (statistical) char- acteristics of the noise and the original (uncorrupted) image. On the basis of these properties the image restoration process computes an estimate of the original image. Although there are many textbooks addressing the image identification and restoration problem in a general image processing setting, there are hardly any texts which give an indepth treatment of the state-of-the-art in this field. This monograph discusses iterative procedures for identifying and restoring images which have been degraded by a linear spatially inv |
| 出版日期 | Book 1991 |
| 關(guān)鍵詞 | Augmented Reality; Interpolation; algebra; filtering; filters; image processing; image restoration; informa |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-3980-3 |
| isbn_softcover | 978-1-4613-6778-9 |
| isbn_ebook | 978-1-4615-3980-3Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1991 |
|Archiver|手機(jī)版|小黑屋|
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