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基于倒谱分析方法的离焦模糊图像特征鉴别

Cepstrum Analysis Used to Recognize Blurry Image
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摘要 在图像拍摄记录的过程中,图像捕获系统因各种原因常常不能精确成像,故而极易产生模糊图像,离焦模糊是常见的模糊图像之一。本文重点介绍了一种倒谱分析方法,在倒谱域对离焦模糊图像的模糊参数进行分析。利用MATLAB软件编制倒谱分析程序进行实验,结果表明倒谱分析方法能更准确地评估模糊参数,将对图像检验起着指导作用。 When taking a photo, the image capture system usually fails to record the images precisely for various reasons, thus the photos are easy to be blurry.Defocused image is one of the common blurry images.This paper introduces a kind of cepstrum analysis method, which is used to analyze various blurry models of blurs.The cepstrum analyzing experiment using MATLAB shows that cepstrum analysis can estimate blurred parameters more cotrecdy.lt is clear that the cepsu'um analysis will provide a guidance in the work of all image exanaination.
作者 施振翔
出处 《电子世界》 2014年第21期95-96,共2页 Electronics World
关键词 离焦模糊 MATLAB 倒谱分析 Defocus Blur MATLAB Cepstrum Analysis
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  • 1[1]Lee Seong-Whan, Kim Young Joon. Direct extraction of topographic feature for gray scale character recognition [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(7):724~729. 被引量:1
  • 2[2]Huang Lei, Huang Xiao. Multiresolution Recognition of Offline Handwritten Chinese Character With Wavelet Transform [A].In: Proceedings of Sixth International Conference on Document Analysis and Recognition [C], Seattle, Washington, 2001:631~634. 被引量:1
  • 3[3]Mallat S G. A Theory for Multiresolution signal decomposition:The Wavelet Representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989,11 (7): 674 ~ 693. 被引量:1
  • 4[4]Shen Ding gang, Ip Horace H S. Discriminative wavelet shape descriptors for recognition of 2-D patterns [J]. Pattern Recognition, 1999,32(2):151~165. 被引量:1
  • 5[5]Unser M, Aldroubi A, Eden Murray et al. On the asymptotic convergence of B-spline wavelets to Gabor function[J]. IEEE Transactions on Information Theory, 1992,38(2): 864~872. 被引量:1
  • 6Richardson W H.Bayesian-based iterative method of image restoration[J].Journal of the Optical Society of America,1972,62(1):55-59. 被引量:1
  • 7Elad M,Feuer A.Restoration of single super-resolution image from several blurred,noisy and down-sampled measured images[J].IEEE Trans.Image Process,1997,6:1646-1658. 被引量:1
  • 8Rudin L,Osher S,Fatemi E.Nonlinear total variation based noise removal algorithms[J].Physica D,1992,60:259-268. 被引量:1
  • 9Chan T F,Wong C K.Total variation blind de-convolution[J].IEEE Transaction on Image Processing,1998,3(7):370-375. 被引量:1
  • 10Babacan S D,Molina R,Katsaggelos A K.Total Variation Image Restoration and Parameter Estimation Using Variational Posterior Distribution Approximation[C] ∥IEEE International Conference on Image Processing.2007,1:97-100. 被引量:1

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