Self-tuning underwater image restoration

Emanuele Trucco, Adriana T. Olmos-Antillon

Research output: Contribution to journalArticlepeer-review

120 Citations (Scopus)


A self-tuning image restoration filter based on a simplified version of the Jaffe-McGlamery underwater image formation model is presented. Optimal values of the filter parameters are estimated automatically for each individual image by optimizing a quality criterion based on a global contrast measure. The simplified model is ideally suitable for diffuse-light imaging with limited backscatter, but qualitative tests show good performance in a variety of imaging conditions. In addition, quantitative tests with a large number of frames from six real mission videos indicate a substantial performance improvement when restoration is used as a preprocessor for a classifier detecting man-made objects in unconstrained subsea videos. © 2006 IEEE.

Original languageEnglish
Pages (from-to)511-519
Number of pages9
JournalIEEE Journal of Oceanic Engineering
Issue number2
Publication statusPublished - Apr 2006


  • Computer vision
  • Image restoration
  • Self-tuning systems


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