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题名:
Midfrequency-based real-time blind image restoration via independent component analysis and genetic algorithms
作者: Luo, Yihan; Fu, Chengyu
刊名: OPTICAL ENGINEERING
出版日期: 2011-04-01
卷号: 50, 期号:4
关键词: blind image restoration ; image deblurring ; real time ; Levy density functions ; point spread functions ; Wiener filtering ; independent component analysis
文章类型: Article
英文摘要: Blind image restoration (BIR) is a useful tool in image processing but too time-consuming to be applied. In order to truly achieve real-time BIR, an ultrafast method for BIR is proposed based on a new concept called the midfrequency region (MR) of an image, which can be used to estimate the point spread function (PSF) and rapidly and accurately restore the image. Also, new MR-based Wiener filtering is derived to accomplish BIR more quickly. Then, using the PSFs of class G that fit numerous imaging systems, a new MR-based algorithm for real-time BIR is derived via independent component analysis and genetic algorithms. Experiments prove that the algorithm is quite effective, speedy, and stable and can truly accomplish real-time image deblurring in on-line systems. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3567072]
WOS标题词: Science & Technology ; Physical Sciences
类目[WOS]: Optics
研究领域[WOS]: Optics
关键词[WOS]: DECONVOLUTION METHOD ; MAXIMUM-LIKELIHOOD
收录类别: SCI
语种: 英语
WOS记录号: WOS:000290028900031
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/3462
Appears in Collections:光电技术研究所被WoS收录文章_期刊论文

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作者单位: Chinese Acad Sci, Inst Opt & Elect, Shuangliu Chengdu 610209, Peoples R China

Recommended Citation:
Luo, Yihan,Fu, Chengyu. Midfrequency-based real-time blind image restoration via independent component analysis and genetic algorithms[J]. OPTICAL ENGINEERING,2011,50(4).
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