机构

• 长春光学精密机械与物... [3]
• 沈阳自动化研究所 [1]
• 近代物理研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [4]
• 期刊论文 [1]

发表日期

• 2016 [1]
• 2010 [1]
• 2007 [1]
• 2006 [2]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Kernel estimation for robust motion deblurring of noisy and blurry images 期刊论文  OAI收割 Journal of Electronic Imaging, 2016, 卷号: 25, 期号: 3, 页码: 1-12 作者:  Sun SJ(孙世杰) 收藏  |  浏览/下载：52/0  |  提交时间：2016/07/22 blind image deblurring  noisy and blurry image  salient structure  image edge  kernel estimation   Image deblurring with adaptive total variation model (EI CONFERENCE) 会议论文  OAI收割 International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China 作者:  Zhang X.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 In this paper the models of blurring and methods of deblurring are introduced. A kind of nonlinear image deblurring approach is discussed  which comes from constrained optimization total variation approaches. An adaptive TV model method of image deblurring based on common TV model methods is proposed. The experimental results indicate that the proposed method can protect the details of the blurry image more efficiently and satisfy some deblurring requirements more adaptively. 2010 SPIE.   Multimodal medical image fusion using fuzzy radial basis function neural networks 会议论文  OAI收割 Beijing, China 作者:  IEEE;  Li, Sha;  Li, Qiang;  Dang, Jian-Wu;  Wang, Yang-Ping   |  收藏  |  浏览/下载：37/0  |  提交时间：2018/08/20 multimodal medical image fusion  fuzzy inference  radial basis function neural networks  genetic algorithm  blurry image   An adaptive temporal filter based on motion compensation for video noise reduction (EI CONFERENCE) 会议论文  OAI收割 2006 International Conference on Communication Technology, ICCT '06, November 27, 2006 - November 30, 2006, Guilin, China 作者:  Li Y.;  Li Y.;  Li Y.;  Li Y. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 Noise in video signals will degrades the image quality. In this paper  an adaptive temporal filter based on motion compensation is proposed for noise reduction. The noise in video sequence is tracked by motion compensation in temporal domain. The filtering strength can be adaptive changed on object motion situation. The experiment results show that the proposed filter is better than the filter in spatial domain. The noise in video signals can be effectively reduced and the image will not be blurry as the result of spatial filter.   Novel adaptive temporal filter based on motion compensation for video noise reduction (EI CONFERENCE) 会议论文  OAI收割 2006 International Symposium on Communications and Information Technologies, ISCIT, October 18, 2006 - October 20, 2006, Bangkok, Thailand Yan L.; Yanfeng Q. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 Noise in video signals will degrades the image quality. In this paper  a novel adaptive temporal filter based on motion compensation is proposed for noise reduction. The noise in video sequence is tracked by motion compensation in temporal domain. The filtering strength can be adaptive changed on object motion situation. The experiment results show that the proposed filter is better than the filter in spatial domain. The noise in video signals can be effectively reduced and the image will not be blurry as the result of spatial filter. 2006 IEEE.