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Guided Signal Reconstruction with Application to Image Magnification

Citation Author(s):
Akshay Gadde, Hassan Mansour, Dong Tian
Submitted by:
Andrew Knyazev
Last updated:
23 February 2016 - 1:44pm
Document Type:
Presentation Slides
Document Year:
Presenters Name:
Andrew Knyazev



We propose signal reconstruction algorithms which utilize a guiding subspace that represents desired properties of reconstructed signals. Optimal reconstructed signals are shown to belong to a convex bounded set, called the ``reconstruction'' set. Iterative reconstruction algorithms, based on conjugate gradient methods, are developed to approximate optimal reconstructions with low memory and computational costs. Effectiveness of the proposed method is demonstrated with an application to image magnification. []

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