基于点扩散函数支持域扩展的多帧未匹配退化图像盲解卷积复原

J4 ›› 2015, Vol. 32 ›› Issue (4): 407-413.

基于点扩散函数支持域扩展的多帧未匹配退化图像盲解卷积复原

李靖¹,乔蕊²

周口师范学院计算机科学与技术学院，河南周口，466001

收稿日期:2015-03-20 修回日期:2015-04-19 出版日期:2015-07-28 发布日期:2015-08-04
通讯作者: 李靖（1982- ），女，河南周口人，讲师，硕士。研究方向：图像处理，服务计算，传感器网络.
基金资助:
河南省软科学研究项目(132400411365); 河南省高等学校重点科研项目(15B520046)

Multi-Frame Un-Registration Degraded Image Blind Deconvolution Based on Point Spread Functions’ Support Domain Expansion

LI Jing, QIAO Rui

Zhoukou Normal University, School of Computer Science and Technology, Zhoukou 466001, China

Received:2015-03-20 Revised:2015-04-19 Published:2015-07-28 Online:2015-08-04

摘要/Abstract

摘要：

多帧盲解卷积算法利用多帧退化图像进行复原可以获得清晰原始图像和点扩散函数的信息，受到了很多研究者的关注。目前大部分多帧盲解卷积算法都需要对多帧退化图像进行匹配预处理，以消除图像间平移引入的算法求解误差。本文利用频率内的多帧盲解卷积算法对未匹配的退化图像进行处理，不需要进行预匹配处理，只需要对点扩散函数的支持域进行扩展就可以复原获取清晰化的图像。利用傅里叶变换的性质对该方法的可行性进行了说明。同时对该方法进行了数字仿真实验，复原结果中的点扩散函数发生了相对移动消除了图像间未匹配的影响，证实了本文方法的有效性。

关键词: 盲解卷积, 点扩散函数, 支持域, 匹配

Abstract:

Multi-frame blind deconvolution algorithm using multi-frame degraded images can get clear the original image and the point spread function of information, and has been received the concern of many researchers. At present, the majority of multi-frame blind deconvolution algorithms need registration pretreatment for multi-frame images in order to eliminate the restored image error. In this paper, multi-frame blind deconvolution algorithm in frequency domain is proposed to process the degraded images without registration pretreatment and with point spread functions’ support domain expansion. The feasibility of the method is illustrated by using properties of the Fourier transform. The digital simulation experiments are carried out to confirm the effectiveness of the proposed method.

Key words: Blind deconvolution; Point spread function; Support domain; Registration

李靖乔蕊. 基于点扩散函数支持域扩展的多帧未匹配退化图像盲解卷积复原[J]. J4, 2015, 32(4): 407-413.

LI Jing, QIAO Rui. Multi-Frame Un-Registration Degraded Image Blind Deconvolution Based on Point Spread Functions’ Support Domain Expansion[J]. J4, 2015, 32(4): 407-413.

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