Recovery of aliased signals for high-resolution digital imaging

Sarah John

doi:10.1117/12.25369

1 March 1991 Recovery of aliased signals for high-resolution digital imaging

Sarah John

Proceedings Volume 1385, Optics, Illumination, and Image Sensing for Machine Vision V; (1991) https://doi.org/10.1117/12.25369
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

In a digital imaging device the maximum resolution that can be achieved is limited to the Nyquist frequency of the sampling grid. We develop in this paper a method by which this constraint may be overcome by recovering aliased information which occurs due to undersampling and thereby restore frequencies beyond the sampling passband. The method relies on acquiring several images of the same scene by varying the optical transfer function of the imaging system. We then solve a set of linear equations that incorporates the degradations due to blurring aliasing and noise of the imaging system. The effectiveness of the technique is demonstrated by presenting restorations of 1-dimensional and 2-dimensional degraded signals. We also discuss the usefulness of the technique for multiresolution coding.

Citation Download Citation

Sarah John "Recovery of aliased signals for high-resolution digital imaging", Proc. SPIE 1385, Optics, Illumination, and Image Sensing for Machine Vision V, (1 March 1991); https://doi.org/10.1117/12.25369

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