Title :
Artifact reduction for set theoretic super resolution image reconstruction with edge adaptive constraints and higher-order interpolants
Author :
Patti, Andrew J. ; Altunbasak, Yucel
Author_Institution :
Liberate Technol., San Carlos, CA, USA
fDate :
1/1/2001 12:00:00 AM
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 :
image reconstruction; image resolution; interpolation; set theory; POCS-based super-resolution reconstruction; artifact reduction; constraint sets; continuous image formation model; edge adaptive constraints; edge ringing reduction; high resolution image estimate; higher-order interpolants; interpolation; inversion process; projection onto convex sets; set theoretic super resolution image reconstruction; Frequency domain analysis; High-resolution imaging; Image generation; Image reconstruction; Image resolution; Image restoration; Image sampling; Interpolation; Iterative methods; Power system modeling;
Journal_Title :
Image Processing, IEEE Transactions on
