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Self-Tuning Underwater Image Restoration

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2 Author(s)
Trucco, E. ; Dept. of Electron. Eng., Heriot-Watt Univ., Edinburgh ; Olmos-Antillon, A.T.

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

Published in:

Oceanic Engineering, IEEE Journal of  (Volume:31 ,  Issue: 2 )