Abstract
We consider the problem of recovering an original image x from its filtered version y= f(x) , assuming that the internal structure of the filter f(·) is unknown to us (i.e., we can only query the filter as a black-box and, for example, cannot invert it). We present two new iterative methods to attack the problem, analyze, and evaluate them on various smoothing and edge-preserving image filters.
Original language | English |
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Pages (from-to) | 1565-1573 |
Number of pages | 9 |
Journal | Signal, Image and Video Processing |
Volume | 15 |
Issue number | 7 |
Early online date | 8 Apr 2021 |
DOIs | |
Publication status | Published - Oct 2021 |
Keywords
- Nonlinear filtering
- Recovery
- Reverse filtering
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering