New Explorations on Cannon's Contributions and Generalized Solutions for Uniform Linear Motion Blur Identification | |
Wang, Lu1; Zhang, Hong-Yan2,3; Peng, Si-Long1![]() | |
刊名 | JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
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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. |
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