| 書目名稱 | Lossy Image Compression |
| 副標題 | Domain Decomposition |
| 編輯 | K.K. Shukla,M.V. Prasad |
| 視頻video | http://file.papertrans.cn/589/588666/588666.mp4 |
| 概述 | Introduces new image compression algorithms and their implementation.Provides a detailed discussion of fuzzy geometry measures and their application in image compression algorithms.Describes parallel |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | .Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression techniques incur some loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression ratios than is possible with lossless compression. Salient features of this book include: four new image compression algorithms and implementation of these algorithms; detailed discussion of fuzzy geometry measures and their application in image compression algorithms; new domain decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression algorithms for different parallel architectures and evaluation of time complexity for encoding on all architectures; parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine (PVM) environment.. |
| 出版日期 | Book 2011 |
| 關鍵詞 | Compression Ratio; Domain Decompression; Fuzzy Measures; Image Compression; Parallel Algorithms; Parallel |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-2218-0 |
| isbn_softcover | 978-1-4471-2217-3 |
| isbn_ebook | 978-1-4471-2218-0Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London L |
|Archiver|手機版|小黑屋|
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