Parallel domain decomposition based algorithm for large scale color image denoising
文献类型：会议论文
| 作者 | Fu, Haiwei; Chen, Rongliang; Chen, Rongmin |
| 出版日期 | 2014 |
| 会议名称 | 2014 4th IEEE International Conference on Information Science and Technology, ICIST 2014 |
| 会议地点 | Shenzhen |
| 英文摘要 | An effective method for recovering blocky and discontinuous images from noisy data is the Total variation (TV) method. In this paper, we introduce a parallel domain decomposition based Newton-Krylov-Schwarz (NKS) method to numerically solve the total variation minimization model for the color image restoration. We show numerically that the NKS method converges and scales well on parallel computers with over one thousand processors. Several numerical experiments and comparisons demonstrate that the proposed method is fast and robust, especially for large scale color images. © 2014 IEEE.(13 refs) |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6045]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Fu, Haiwei,Chen, Rongliang,Chen, Rongmin. Parallel domain decomposition based algorithm for large scale color image denoising[C]. 见:2014 4th IEEE International Conference on Information Science and Technology, ICIST 2014. Shenzhen. |
入库方式： OAI收割
来源：深圳先进技术研究院
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