Spectrum Decomposition of Windowed-Signal and Data Restoration

SUN Xiao-jun; DING Qun; ZHU Yong

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Spectrum Decomposition of Windowed-Signal and Data Restoration

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- Spectrum Decomposition of Windowed-Signal and Data Restoration
- Acta Electronica Sinica Vol. 33, Issue 3, Pages: 538-540(2005)
- 作者机构：
  
  1. 黑龙江大学电子工程学院,黑龙江,哈尔滨,150080
  2. 哈尔滨工业大学自动化测试与控制系,黑龙江,哈尔滨,150001
  3. 黑龙江大学电子工程学院哈尔滨黑龙江,150080
  4. 哈尔滨工业大学自动化测试与控制系哈尔滨黑龙江,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN991.73
- Published：2005
- 稿件说明：
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SUN Xiao-jun, DING Qun, ZHU Yong. Spectrum Decomposition of Windowed-Signal and Data Restoration[J]. Acta Electronica Sinica, 2005, 33(3): 538-540.
DOI：

SUN Xiao-jun, DING Qun, ZHU Yong. Spectrum Decomposition of Windowed-Signal and Data Restoration[J]. Acta Electronica Sinica, 2005, 33(3): 538-540. DOI：

摘要

针对图像信号缺损问题提出一种新的修复方法

用乘窗函数描述信号缺损

将数据修复转化为频域反卷积运算

使问题得以简化和规范化.由于任何形状缺损的位置均可转变成窗函数统一描述

因此算法可用于修复任意形状的斑块缺损.文中结合实例讨论了缺损形状大小和缺失量对修复效果的影响

同时指出算法在边界处有一定的自动衔接功能.

Abstract

A new restoration algorithm was proposed for a solution to the problem of data loss in image signal.To describe the incomplete signal as a function multiplied by a window can turn the restoration task into deconvolution in frequency domain.It has enabled the task to be simple and normative.As the position coordinate of lost segments in arbitrary shape could be indicated by a unitary window function

the algorithm was applicable to restore these lost segments.The paper illustrated the simulation examples and discussed the effect of segment shape and loss amount on restoration.Some ability of the algorithm to connect automatically the boundary was also pointed out in the paper.

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