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Spectral methods for spatial resolution improvement of digital images

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Abstract

A general matrix formula is proposed for signal spectral aliasing of various or mutual resolution, the concept of spectral aliasing matrix is introduced, and some general spectral methods for spatial resolution improvement from multiframes of undersampled digital images are discussed. A simplified iterative method of parallel row-action projection for spectral de-aliasing is also given. The method can be applied to multiframe images with various spatial resolution, relative displacement, dissimilar point spread function, different image radiance, and additive random noise. Some experiments with a resolution test pattern and an image of vertical fin performed the convergence and the effectiveness of the algorithms.

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Authors and Affiliations

  1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, 100101, Beijing, China

    Pengwei Hao, Guanhua Xu & Chongguang Zhu

Authors
  1. Pengwei Hao
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  2. Guanhua Xu
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  3. Chongguang Zhu
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Hao, P., Xu, G. & Zhu, C. Spectral methods for spatial resolution improvement of digital images. Sci. China Ser. E-Technol. Sci. 42, 365–375 (1999). https://doi.org/10.1007/BF02916745

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  • DOI: https://doi.org/10.1007/BF02916745

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