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.
- Nonlinear filtering
- Reverse filtering
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering