Artifact reduction for set theoretic super resolution image reconstruction with edge adaptive constraints and higher-order interpolants
IEEE Transactions on Image ProcessingPublished 1 January 2001
A.J. Patti, Y. Altunbasak
Citations149
SJR quartileQ1
SJR score2.50
SNIP3.41
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TL;DR
The discretization of the continuous image formation model is improved to explicitly allow for higher order interpolation methods to be used and the constraint sets are modified to reduce the amount of edge ringing present in the high resolution image estimate.
Abstract
In this paper, we propose to improve the POCS-based super-resolution reconstruction (SRR) methods in two ways. First, the discretization of the continuous image formation model is improved to explicitly allow for higher order interpolation methods to be used. Second, the constraint sets are modified to reduce the amount of edge ringing present in the high resolution image estimate. This effectively regularizes the inversion process.
Keywords
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