Empirical evaluation of a bound on image superresolution performance

Philip J. Sementilli; Mariappan S. Nadar; Bobby R. Hunt

doi:10.1117/12.188039

30 September 1994 Empirical evaluation of a bound on image superresolution performance

Philip J. Sementilli, Mariappan S. Nadar, Bobby R. Hunt

Proceedings Volume 2302, Image Reconstruction and Restoration; (1994) https://doi.org/10.1117/12.188039
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Images restored by linear shift-variant and nonlinear restoration techniques contain spectral energy beyond the optical system cutoff frequency. We have recently analyzed this aspect of image superresolution in terms of accurate extrapolation of the image spectrum. A closed-form expression for an approximate lower bound on extrapolation performance has been derived for continuous signals. In this paper, we present new empirical evidence in support of the derived bound. We then discuss performance for the discrete imaging case, including a discrete analogy to the analytic continuation theorem. Empirical results are presented which support our hypothesis that substantial bandwidth extrapolation is achievable for discrete images. Finally, we discuss potential applications of these results to the development of new restoration algorithms.

Citation Download Citation

Philip J. Sementilli, Mariappan S. Nadar, and Bobby R. Hunt "Empirical evaluation of a bound on image superresolution performance", Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); https://doi.org/10.1117/12.188039

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