版权说明 操作指南
首页 > 成果 > 详情

Blind image restoration with sparse priori regularization for passive millimeter-wave images

认领
导出
Link by 万方学术期刊
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Liu, Tingting;Chen, Zengzhao;Liu, Sanyan*;Zhang, Zhaoli;Shu, Jiangbo*
通讯作者:
Liu, Sanyan;Shu, Jiangbo
作者机构:
[Liu, Sanyan; Liu, Tingting; Chen, Zengzhao; Zhang, Zhaoli; Shu, Jiangbo; Liu, SY; Shu, JB] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构:
[Liu, SY; Shu, JB] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Blind image restoration;Image processing;Millimeter wave imaging;Regularization;Sparse priori
期刊:
Journal of Visual Communication and Image Representation
ISSN:
1047-3203
年:
2016
卷:
40
期:
Oct. Pt.A
页码:
58-66
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61505064]; National Social Science Fund of China [14BGL131]; Project of the Program for National Key Technology Research and Development Program [2013BAH18F01, 2014BAH22F01, 2015BAK07B03, 2013BAH72B01, 2013BAH18F02, 2015BAH33F02]; Self-Determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU15A05009]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Passive millimeter wave imaging often suffers from issues such as low resolution, noise, and blurring. In this study, a blind image restoration method for the passive millimeter-wave images (PMMW) is proposed. The purpose of the proposed method is to simultaneously solve the point spread function (PSF) and restoration image. In this method, the data fidelity item is constructed based on Gaussian noise assuming, and the regularization item is constructed as the hyper-Laplace function parallel to x parallel to(0.6), which is fitted according to the high-resolution PMMW images. Moreover, a data-s...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com