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一种改进的整体变分图像修复方法
  • ISSN号：1002-8331
  • 期刊名称：《计算机工程与应用》
  • 时间：0
  • 分类：TP751[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构：[1]合肥工业大学计算机与信息学院,合肥230009, [2]合肥工业大学应用数学研究所,合肥230009
  • 相关基金：国家自然科学基金（No.61070227 60773043）; 教育部科学技术研究重大项目（No.309017）; NSFC-广东联合基金重点项目（No.U1135003）
作者： 刘庚龙[1], 檀结庆[1,2]
关键词： 图像修复, 整体变分, 梯度, 加权, 扩散函数, image inpainting, total variation, gradient, weighted, spread function
中文摘要：

提出了一种基于整体变分模型的图像修复方法,该方法通过计算像素点的梯度信息来构造一个扩散函数,再进行加权处理,达到了对原模型的改进。实验表明,该方法修复有较大破损区域的图像效果比较好,边缘过渡更自然。

英文摘要：

This paper presents an image restoration algorithm based on total variation model, this method improves the original model through constructing a spread function by calculating the gradients of the pixel, and then carrying out the weighted approach. Experiments show that this algorithm works better in the restoration of damaged images which have rich texture, and has more natural boundary transit.

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期刊信息
  • 《计算机工程与应用》
  • 北大核心期刊（2014版）
  • 主管单位:中国电子科技集团公司
  • 主办单位:华北计算技术研究所
  • 主编：怀进鹏
  • 地址：北京市海淀区北四环中路211号北京619信箱26分箱
  • 邮编：100083
  • 邮箱：ceaj@vip.163.com
  • 电话：
  • 国际标准刊号：ISSN：1002-8331
  • 国内统一刊号：ISSN：11-2127/TP
  • 邮发代号:82-605
  • 获奖情况:
  • 1. 2012年首批获得中国学术文献评价中心发布的 “...,2. 2001年获得新闻出版署“中国期刊方阵双效期刊”,3. 2008年首批入选国家科技部“中国精品科技期刊...,4.2003年-2011年连续获得工业和信息化部期刊最高...
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  • 俄罗斯文摘杂志,波兰哥白尼索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:97887