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231223s2003 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2003.811488
|2 doi
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|a DE-627
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|a eng
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| 100 |
1 |
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|a Lee, Eun Sil
|e verfasserin
|4 aut
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|a Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration
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|c 2003
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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 20.05.2010
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|a Date Revised 01.02.2008
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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 propose a high-resolution image reconstruction algorithm considering inaccurate subpixel registration. A regularized iterative reconstruction algorithm is adopted to overcome the ill-posedness problem resulting from inaccurate subpixel registration. In particular, we use multichannel image reconstruction algorithms suitable for applications with multiframe environments. Since the registration error in each low-resolution image has a different pattern, the regularization parameters are determined adaptively for each channel. We propose two methods for estimating the regularization parameter automatically. The proposed algorithms are robust against registration error noise, and they do not require any prior information about the original image or the registration error process. Information needed to determine the regularization parameter and to reconstruct the image is updated at each iteration step based on the available partially reconstructed image. Experimental results indicate that the proposed algorithms outperform conventional approaches in terms of both objective measurements and visual evaluation
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|a Journal Article
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|a Kang, Moon Gi
|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 12(2003), 7 vom: 28., Seite 826-37
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|x 1941-0042
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|g volume:12
|g year:2003
|g number:7
|g day:28
|g pages:826-37
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|u http://dx.doi.org/10.1109/TIP.2003.811488
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