New Explorations on Cannon's Contributions and Generalized Solutions for Uniform Linear Motion Blur Identification

CORC > 自动化研究所 > 中国科学院自动化研究所 > 智能制造技术与系统研究中心 > 多维数据分析团队

	New Explorations on Cannon's Contributions and Generalized Solutions for Uniform Linear Motion Blur Identification
	Wang, Lu 1; Zhang, Hong-Yan 2,3; Peng, Si-Long1
刊名	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
	2012
卷号	27 期号:1 页码:174-186
关键词	Fourier amplitude spectrum phase perpendicular relation uniform linear motion blur identification quasi-cepstrum
英文摘要	Existing frequency-domain-oriented methods of parameter identification for uniform linear motion blur (ULMB) images usually dealt with special scenarios. For example, blur-kernel directions were horizontal or vertical, or degraded images were of foursquare dimension. This excludes those identification methods from being applied to real images, especially to estimate undersized or oversized blur kernels. Pointing against the limitations of blur-kernel identifications, discrete Fourier transform (DFT)-based blur-kernel estimation methods are proposed in this paper. We analyze in depth the Fourier frequency response of generalized ULMB kernels, demonstrate in detail its related phase form and properties thereof, and put forward the concept of quasi-cepstrum. On this basis, methods of estimating ULMB-kernel parameters using amplitude spectrum and quasi-cepstrum are presented, respectively. The quasi-cepstrum-oriented approach increases the identifiable blur-kernel length, up to a maximum of half the diagonal length of the image. Meanwhile, directing toward the image of undersized ULMB, an improved method based on quasi-cepstrum is presented, which ameliorates the identification quality of undersized ULMB kernels. The quasi-cepstrum-oriented approach popularizes and applies the simulation-experiment-focused DFT theory to the estimation of real ULMB images. Compared against the amplitude-spectrum-oriented method, the quasi-cepstrum-oriented approach is more convenient and robust, with lower identification errors and of better noise-immunity.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
研究领域[WOS]	Computer Science
收录类别	SCI
语种	英语
WOS记录号	WOS:000299938700014
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/2915]
专题	自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Engn & Technol Res Ctr ASIC Design, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 3.Civil Aviat Univ China, Sinoeuropean Inst Aviat Engn, Tianjin 300300, Peoples R China
推荐引用方式 GB/T 7714	Wang, Lu,Zhang, Hong-Yan,Peng, Si-Long. New Explorations on Cannon's Contributions and Generalized Solutions for Uniform Linear Motion Blur Identification[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2012,27(1):174-186.
APA	Wang, Lu,Zhang, Hong-Yan,&Peng, Si-Long.(2012).New Explorations on Cannon's Contributions and Generalized Solutions for Uniform Linear Motion Blur Identification.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,27(1),174-186.
MLA	Wang, Lu,et al."New Explorations on Cannon's Contributions and Generalized Solutions for Uniform Linear Motion Blur Identification".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 27.1(2012):174-186.