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Journal of Electronic Imaging

Novel wavelet-based image interpolations in lifting structures for image resolution enhancement
Author(s): Shu-Mei Guo; Bo-Wen Lai; Yi-Cheng Chou; Chin-Chang Yang
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Paper Abstract

We propose novel 5/3 and 9/7 wavelet-based image interpolations in lifting structures with/without involving the evolutionary programming (EP) for image resolution enhancement, respectively. On the basis of the low-band wavelet coefficients, the proposed prediction algorithms estimate high-frequency wavelet coefficients of the original image, so that the original image can be reconstructed from the low-band wavelet coefficients by using the proposed prediction algorithms. Because of the characteristics of the odd-length wavelet filter, which is dominated by the intermediate coefficients, taking even or odd downsampling of the filtered coefficients significantly dominates the image reconstruction performance. Therefore, constructing the low-band wavelet coefficients through the odd-length wavelet filter in lifting structures based on even and odd pixels of the original image are respectively performed. Then, the better one, which yields a high-performance image resolution enhancement, is selected. To further improve the reconstruction performance and show the optimality of the above-mentioned proposed algorithms, we also present the EP-based image interpolations. The proposed prediction algorithms with/without EP outperform other standard methods.

Paper Details

Date Published: 1 July 2011
PDF: 23 pages
J. Electron. Imag. 20(3) 033007 doi: 10.1117/1.3606587
Published in: Journal of Electronic Imaging Volume 20, Issue 3
Show Author Affiliations
Shu-Mei Guo, National Cheng Kung Univ. (Taiwan)
Bo-Wen Lai, National Cheng Kung Univ. (Taiwan)
Yi-Cheng Chou, National Cheng Kung Univ. (Taiwan)
Chin-Chang Yang, National Cheng Kung Univ. (Taiwan)

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