1 December 1991 Restoration of subpixel detail using the regularized pseudoinverse of the imaging operator
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Abstract
We present an analysis and computational results relating to the regularized restoration of subpixel information from undersampled data. The method makes use of a small set of images in various stages of defocus. An iterative implementation permits the incorporation of a non- negativity constraint. The problem we consider is fundamentally under-determined, but useful results can be obtained in reasonably low noise conditions.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John B. Abbiss, Bryan J. Brames, "Restoration of subpixel detail using the regularized pseudoinverse of the imaging operator", Proc. SPIE 1566, Advanced Signal Processing Algorithms, Architectures, and Implementations II, (1 December 1991); doi: 10.1117/12.49838; https://doi.org/10.1117/12.49838
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Point spread functions

Reconstruction algorithms

Sensors

Condition numbers

Signal processing

Signal to noise ratio

Image resolution

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