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 journalArticlepeer-review

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

All Science Journal Classification (ASJC) codes

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

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