Abstract
We consider the problem of image interpolation using adaptive optimal recovery. We adaptively estimate the local quadratic signal class of our image pixels. We then use optimal recovery to estimate the missing local samples based on this quadratic signal class. This approach tends preserve edges, interpolating along edges and not across them.
Original language | English |
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Pages (from-to) | 1949-1952 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 3 |
State | Published - 2001 |
Event | 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States Duration: 7 May 2001 → 11 May 2001 |