Novel wavelet-based image interpolations in lifting structures for image resolution enhancement

Shu-Mei Guo, Bo Wen Lai, Yi Cheng Chou, Chin Chang Yang

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Article number033007
JournalJournal of Electronic Imaging
Volume20
Issue number3
DOIs
Publication statusPublished - 2011 Jul 1

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image resolution
Image resolution
interpolation
Interpolation
Evolutionary algorithms
augmentation
coefficients
programming
predictions
Image reconstruction
filters
Pixels
image reconstruction
pixels
estimates

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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title = "Novel wavelet-based image interpolations in lifting structures for image resolution enhancement",
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.",
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Novel wavelet-based image interpolations in lifting structures for image resolution enhancement. / Guo, Shu-Mei; Lai, Bo Wen; Chou, Yi Cheng; Yang, Chin Chang.

In: Journal of Electronic Imaging, Vol. 20, No. 3, 033007, 01.07.2011.

Research output: Contribution to journalArticle

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