Two Iterative Methods for Reverse Image Filtering

Alexander Belyaev, Pierre-Alain Fayolle

Research output: Contribution to journalArticlepeer-review

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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 languageEnglish
JournalSignal, Image and Video Processing
Early online date8 Apr 2021
DOIs
Publication statusE-pub ahead of print - 8 Apr 2021

Keywords

  • Nonlinear filtering
  • Recovery
  • Reverse filtering

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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