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Multiresponse Image Gathering and Restoration

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Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 409))

Abstract

This chapter presents a method of image gathering and restoration that can produce images with spatial detail that is finer than the sampling interval. The method consists of an image-gathering process that acquires A images, each with a different SFR that extends beyond the sampling passband, and a Wienermatrix filter that unscrambles and reassembles the within-passband and aliased signal components. If the SNR is sufficiently high, then the resolution can be increased by a factor approaching \(1/\sqrt A \) times the sampling interval. However, practical applications may be rare, for this method requires, in addition to the high SNR, that the image-gathering device and the target remain stationary relative to each other during the image-gathering sequence or shift relative to each other by a known amount.

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References

  1. C. L. Fales and F. O. Huck, An information theory of image gathering,“ Information Sciences 57–58, 245–285 (1991).

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  2. R. Alter-Gartenberg, C. L. Fales, F. O. Huck, Z. Rahman and S. E. Reichenbach, “Multiresponse imaging: Information and fidelity,” Multidimensional Systems and Signal Processing 3, 81–102 (1992).

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© 1997 Springer Science+Business Media New York

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Huck, F.O., Fales, C.L., Rahman, Zu. (1997). Multiresponse Image Gathering and Restoration. In: Visual Communication. The Springer International Series in Engineering and Computer Science, vol 409. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2568-1_6

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  • DOI: https://doi.org/10.1007/978-1-4757-2568-1_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5180-9

  • Online ISBN: 978-1-4757-2568-1

  • eBook Packages: Springer Book Archive

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