<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/2013/59/">http://www.ipol.im/pub/art/2013/59/</a><br>
<br>
Exemplar-based Texture Synthesis: the Efros-Leung Algorithm<br>
by Cecilia Aguerrebere, Yann Gousseau, Guillaume Tartavel<br>
Image Processing On Line, vol. 2013, pp. 213–231.<br>
<a class="moz-txt-link-freetext" href="http://">http://www.ipol.im/pub/art/2013/59/</a><br>
<br>
Abstract<br>
<meta charset="utf-8">
Exemplar-based texture synthesis aims at creating, from an input
sample, new texture images that are visually similar to the input,
but are not plain copy of it. The Efros–Leung algorithm is one of
the most celebrated approaches to this problem. It relies on a
Markov assumption and generates new textures in a non-parametric
way, directly sampling new values from the input sample. In this
paper, we provide a detailed analysis and implementation of this
algorithm. The code closely follows the algorithm description from
the original paper. It also includes a PCA-based acceleration of the
method, yielding results that are generally visually
indistinguishable from the original results. To the best of our
knowledge, this is the first publicly available implementation of
this algorithm running in acceptable time. Even though numerous
improvements have been proposed since this seminal work, we believe
it is of interest to provide an easy way to test the initial
approach from Efros and Leung. In particular, we provide the user
with a graphical illustration of the innovation capacity of the
algorithm. Experimentation often shows that the path between
verbatim copy of the exemplar and garbage growing is somewhat
narrow, and that in most favorable cases the algorithm produces new
texture images by stitching together entire regions from the
exemplar.<br>
<br>
<br>
<br>
</body>
</html>