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add paper style
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grip-unina committed Dec 5, 2018
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129 changes: 129 additions & 0 deletions _layouts/paper.html
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<!DOCTYPE html>
<html lang="{{ site.lang | default: "en-US" }}">

<head>
<meta charset='utf-8'>
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width,maximum-scale=2">
<link rel="stylesheet" type="text/css" media="screen" href="{{ '/assets/css/style.css?v=' | append: site.github.build_revision | relative_url }}">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
{% seo %}
</head>

<body>

<!-- HEADER -->
<div id="header_wrap" class="outer">
<header class="inner">
{% if page.github_url %}
<a id="forkme_banner" href="{{ page.github_url }}">View on GitHub</a>
{% else %}
{% if site.github.is_project_page %}
<a id="forkme_banner" href="{{ site.github.repository_url }}">View on GitHub</a>
{% endif %}
{% endif %}
<!-- Title -->
{% if page.paper %}
<h1 id="paper_title">{{ page.paper }}</h1>
{% else %}
<h1 id="paper_title">{{ site.title | default: site.github.repository_name }}</h1>
{% endif %}

{% if page.authors %}
<!-- Authors -->
<div id="paper_authors" style="margin-bottom:10px; text-align:center">
<!-- <div> <small> <i> <b> -->
{% for author in page.authors %}
<a href="{{ author.link }}">{{ author.name }}</a>
{% if author.index %}
<sup>{{author.index}}</sup>
{% endif %}
&nbsp;&nbsp;&nbsp;&nbsp;
{% endfor %}
<!-- </b> </i> </small> </div> -->
</div>
{% endif %}

{% if page.affiliations %}
<!-- Affiliations -->
<div id="paper_affiliations" style="margin-bottom:20px; text-align:center">
<!-- <div> <small> <i> -->
{% for affiliation in page.affiliations %}
{% if affiliation.index %}
<sup>{{affiliation.index}}</sup>
{% endif %}
{{ affiliation.name }}
<br/>
{% endfor %}
<!-- </i> </small> </div> -->
</div>
{% endif %}

{% if site.show_downloads %}
<section id="downloads">
<a class="zip_download_link" href="{{ site.github.zip_url }}">Download this project as a .zip file</a>
<a class="tar_download_link" href="{{ site.github.tar_url }}">Download this project as a tar.gz file</a>
</section>
{% endif %}
</header>
</div>

<!-- MAIN CONTENT -->
<div id="main_content_wrap" class="outer">
<section id="main_content" class="inner">
<!-- content -->
{{ content }}

{% if page.links %}
<!-- Links -->
<h3 id="paper_links"> Links </h3>
<ul style="list-style-type:none">
{% if page.links.arxiv %}
<li style="float: left;">
<a href="{{page.links.arxiv}}" style="text-decoration:none;"><i class="fa fa-file-pdf-o"></i> Arxiv </a> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</li>
{% endif %}
{% if page.links.paper %}
<li style="float: left;">
<a href="{{page.links.paper}}" style="text-decoration:none;"><i class="fa fa-file-pdf-o"></i> Paper </a> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</li>
{% endif %}
{% if page.links.data %}
<li style="float: left;">
<a href="{{page.links.data}}" style="text-decoration:none;"><i class="fa fa-file-archive-o"></i> Data </a> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
</li>
{% endif %}
{% if page.links.code %}
<li style="float: left;">
<a href="{{page.links.code}}" style="text-decoration:none;"><i class="fa fa-file-archive-o"></i> Code </a>
</li>
{% endif %}
</ul>
<p>&nbsp;&nbsp;&nbsp;</p>
{% endif %}
</section>
</div>

<!-- FOOTER -->
<div id="footer_wrap" class="outer">
<footer class="inner">
<p class="copyright">
{% if site.github.is_project_page %}
{{ site.title | default: site.github.repository_name }} maintained by <a href="{{ site.github.owner_url }}">{{ site.github.owner_name }}</a>;
{% endif %}
<a href="https://www.grip.unina.it">www.grip.unina.it</a></p>
</footer>
</div>

{% if site.google_analytics %}
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
ga('create', '{{ site.google_analytics }}', 'auto');
ga('send', 'pageview');
</script>
{% endif %}
</body>
</html>
36 changes: 36 additions & 0 deletions assets/css/style.scss
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---

@import "jekyll-theme-slate";
#paper_title {
margin: 0;
color: #fff;
font-size: 40px;
font-weight: 700;
text-shadow: #111 0px 0px 10px;
text-align: center;
}
#paper_authors {
margin: 0;
color: #fff;
text-align: center;
}
#paper_affiliations {
margin: 0;
color: #fff;
text-align: center;
}
p {
text-align: justify;
}
a {
color: #007bff;
text-decoration: none;
background-color: transparent;
}
sup {
top: -.5em;
position: relative;
font-size: 75%;
line-height: 0;
vertical-align: baseline;
}
.inner {
max-width: 720px;
}
62 changes: 62 additions & 0 deletions example.md
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---
layout: paper
paper: Guided patch-wise nonlocal SAR despeckling
github_url: https://github.com/grip-unina/GNLM
authors:
- name: Sergio Vitale
link: https://grip-unina.github.io/GNLM/
index: 1

- name: Davide Cozzolino
link: http://www.grip.unina.it/people/userprofile/davide_cozzolino.html
index: 2

- name: Giuseppe Scarpa
link: http://www.grip.unina.it/people/userprofile/giuseppe_scarpa.html
index: 2

- name: Luisa Verdoliva
link: http://www.grip.unina.it/people/userprofile/verdoliva.html
index: 2

- name: Giovanni Poggi
link: http://www.grip.unina.it/people/userprofile/poggi.html
index: 2

affiliations:
- name: Engineering Department of University Parthenope, Naples, Italy
index: 1
- name: Department of Electrical Engineering and Information Technology, University Federico II of Naples, Italy
index: 2

links:
arxiv: https://arxiv.org/abs/1811.11872
code: https://github.com/grip-unina/GNLM
---


![header](./header.jpg)

We propose a new method for SAR image despeckling which leverages information drawn from co-registered optical imagery.
Filtering is performed by plain patch-wise nonlocal means, operating exclusively on SAR data.
However, the filtering weights are computed by taking into account also the optical guide, which is much cleaner than the SAR data,
and hence more discriminative. To avoid injecting optical-domain information into the filtered image, a SAR-domain statistical
test is preliminarily performed to reject right away any risky predictor.
Experiments on two SAR-optical datasets prove the proposed method to suppress very effectively the speckle, preserving
structural details, and without introducing visible filtering artifacts. Overall, the proposed method compares favourably with
all state-of-the-art despeckling filters, and also with our own previous optical-guided filter.

### News

* 2018-11-29: Paper available on Arxiv.

### Bibtex

```js
@article{Guided_despeckling,
author={S. Vitale and D. Cozzolino and G. Scarpa and L. Verdoliva and G. Poggi},
journal={arXiv:1811.11872},
title={Guided patch-wise nonlocal SAR despeckling},
year={2018}
}
```
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