<html>
<head>
<meta http-equiv="content-type" content="text/html;
charset=ISO-8859-1">
</head>
<body text="#000000" bgcolor="#FFFFFF">
A new article is available in IPOL:
<a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2014/84/">http://www.ipol.im/pub/art/2014/84/</a><br>
<br>
<meta charset="utf-8">
Jean-Michel Morel, Ana-Belen Petro, and Catalina Sbert, Screened
Poisson Equation for Image Contrast Enhancement, Image Processing On
Line, 4 (2014), pp. 16–29. <a class="moz-txt-link-freetext" href="http://dx.doi.org/10.5201/ipol.2014.84">http://dx.doi.org/10.5201/ipol.2014.84</a><br>
<br>
Abstract<br>
In this work we propose a discussion and detailed implementation of
a very simple gradient domain method that tries to eliminate the
effect of nonuniform illumination and at the same time preserves the
images details. This model, which to the best of our knowledge has
not been explored in spite of its simplicity, acts as a high pass
filter. We show that with a single contrast parameter (which keeps
the same value in most experiments), the model delivers state of the
art results. They compare favorably to results obtained with more
complex algorithms. Our algorithm is designed for all kinds of
images, but with the special specification of making minimal image
detail alteration thanks to a first order fidelity term, instead of
the usual zero order term. Experiments on non-uniform medical images
and on hazy images illustrate significant perception gain.<br>
<br>
<br>
<br>
<br>
</body>
</html>