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231223s1998 xx |||||o 00| ||eng c |
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|a 10.1109/83.661187
|2 doi
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|a eng
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|a Chan, T F
|e verfasserin
|4 aut
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|a Total variation blind deconvolution
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|c 1998
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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| 500 |
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|a Date Completed 15.12.2009
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|a Date Revised 15.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a In this paper, we present a blind deconvolution algorithm based on the total variational (TV) minimization method proposed. The motivation for regularizing with the TV norm is that it is extremely effective for recovering edges of images as well as some blurring functions, e.g., motion blur and out-of-focus blur. An alternating minimization (AM)implicit iterative scheme is devised to recover the image and simultaneously identify the point spread function (psf). Numerical results indicate that the iterative scheme is quite robust, converges very fast (especially for discontinuous blur), and both the image and the psf can be recovered under the presence of high noise level. Finally, we remark that psf's without sharp edges, e.g., Gaussian blur, can also be identified through the TV approach
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|a Journal Article
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|a Wong, C K
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 7(1998), 3 vom: 30., Seite 370-5
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|x 1941-0042
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|g volume:7
|g year:1998
|g number:3
|g day:30
|g pages:370-5
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|u http://dx.doi.org/10.1109/83.661187
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