Abstract
AbstractWe consider the problem of recovering an original image $${\varvec{x}}$$
x
from its filtered version $${\varvec{y}}={\varvec{f}}({\varvec{x}})$$
y
=
f
(
x
)
, assuming that the internal structure of the filter $${\varvec{f}}(\cdot )$$
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.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
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