Discrete cosine transform based high-resolution image reconstruction considering the inaccurate subpixel motion information

Min Kyu Park, Eun Sil Lee, Jin Yeol Park, Moon Gi Kang, Jaihie Kim

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The demand for high-resolution images is gradually increasing, whereas many imaging systems have been designed to enable a certain level of aliasing during image acquisition. In this sense, digital image processing approaches have recently been investigated to reconstruct a high-resolution image from aliased low-resolution images. However, since the subpixel motion information is assumed to be accurate in most conventional approaches, the satisfactory high-resolution image cannot be obtained when the subpixel motion information is inaccurate. Hence, we propose a new algorithm to reduce the distortion in the reconstructed high-resolution image due to the inaccuracy of subpixel motion information. For this purpose, we analyze the effect of inaccurate subpixel motion information on a high-resolution image reconstruction, and model it as zero-mean additive Gaussian errors added respectively to each low-resolution image. To reduce the distortion, we apply the modified multichannel image deconvolution approach to the problem. The validity of the proposed algorithm is demonstrated both theoretically and experimentally.

Original languageEnglish
Pages (from-to)370-380
Number of pages11
JournalOptical Engineering
Volume41
Issue number2
DOIs
Publication statusPublished - 2002 Feb 1

Fingerprint

discrete cosine transform
Discrete cosine transforms
Image resolution
image reconstruction
Image reconstruction
high resolution
image resolution
Image acquisition
Deconvolution
Imaging systems
image processing
acquisition
Image processing

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

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abstract = "The demand for high-resolution images is gradually increasing, whereas many imaging systems have been designed to enable a certain level of aliasing during image acquisition. In this sense, digital image processing approaches have recently been investigated to reconstruct a high-resolution image from aliased low-resolution images. However, since the subpixel motion information is assumed to be accurate in most conventional approaches, the satisfactory high-resolution image cannot be obtained when the subpixel motion information is inaccurate. Hence, we propose a new algorithm to reduce the distortion in the reconstructed high-resolution image due to the inaccuracy of subpixel motion information. For this purpose, we analyze the effect of inaccurate subpixel motion information on a high-resolution image reconstruction, and model it as zero-mean additive Gaussian errors added respectively to each low-resolution image. To reduce the distortion, we apply the modified multichannel image deconvolution approach to the problem. The validity of the proposed algorithm is demonstrated both theoretically and experimentally.",
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Discrete cosine transform based high-resolution image reconstruction considering the inaccurate subpixel motion information. / Park, Min Kyu; Lee, Eun Sil; Park, Jin Yeol; Kang, Moon Gi; Kim, Jaihie.

In: Optical Engineering, Vol. 41, No. 2, 01.02.2002, p. 370-380.

Research output: Contribution to journalArticle

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AU - Lee, Eun Sil

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