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A new article is available in IPOL:
<a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2014/107/">http://www.ipol.im/pub/art/2014/107/</a><br>
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Ana Belén Petro, Catalina Sbert, and Jean-Michel Morel, Multiscale
Retinex, Image Processing On Line, (2014), pp. 71–88.
<a class="moz-txt-link-freetext" href="http://dx.doi.org/10.5201/ipol.2014.107">http://dx.doi.org/10.5201/ipol.2014.107</a><br>
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Abstract<br>
While the retinex theory aimed at explaining human color perception,
its derivations have led to efficient algorithms enhancing local
image contrast, thus permitting among other features, to "see in the
shadows". Among these derived algorithms, Multiscale Retinex is
probably the most successful center-surround image filter. In this
paper, we offer an analysis and implementation of Multiscale
Retinex. We point out and resolve some ambiguities of the method. In
particular, we show that the important color correction final step
of the method can be seriously improved. This analysis permits to
come up with an automatic implementation of Multiscale Retinex which
is as faithful as possible to the one described in the original
paper. Overall, this implementation delivers excellent results and
confirms the validity of Multiscale Retinex for image color
restoration and contrast enhancement. Nevertheless, while the method
parameters can be fixed, we show that a crucial choice must be left
to the user, depending on the lightning condition of the image: the
method must either be applied to each color independently if a color
balance is required, or to the luminance only if the goal is to
achieve local contrast enhancement. Thus, we propose two slightly
different algorithms to deal with both cases.<br>
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