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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RAISR: Rapid and Accurate Image Super Resolution · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.01299/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1606.01299/feed.xml" rel="self" type="application/rss+xml" /><item><title>RAISR: Rapid and Accurate Image Super Resolution — mentioned by sorenjan</title><link>https://news.ycombinator.com/item?id=18181104</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.01299:18181104</guid><pubDate>Wed, 10 Oct 2018 00:56:53 GMT</pubDate><description>&lt;p&gt;Does anyone know which algorithm they use for super resolution in the camera app? I know they&amp;#x27;re using RAISR [0] for zoom in the previous version, seems like they have a new method now with multi image super resolution. I doubt it&amp;#x27;s anywhere near as good as a second camera with a different lens, so I don&amp;#x27;t understand why they won&amp;#x27;t include a second camera in the back like every other modern phone. [0] https://arxiv.org/abs/1606.01299&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.01299/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>RAISR: Rapid and Accurate Image Super Resolution — mentioned by dbcooper</title><link>https://news.ycombinator.com/item?id=13585245</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.01299:13585245</guid><pubDate>Mon, 06 Feb 2017 23:15:02 GMT</pubDate><description>&lt;p&gt;Another recent &amp;quot;super resolution&amp;quot; method (RAISR) from Google Research: https://arxiv.org/abs/1606.01299 https://research.googleblog.com/2016/11/enhance-raisr-sharp-... &amp;gt;Given an image, we wish to produce an image of larger size with significantly more pixels and higher image quality. This is generally known as the Single Image Super-Resolution (SISR) problem. The idea is that with sufficient training data (corresponding pairs of low and high resolution images) we can learn set of filters (i.e. a mapping) that when applied to given image that is not in the training set, will produce a higher…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.01299/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>RAISR: Rapid and Accurate Image Super Resolution — mentioned by tedunangst</title><link>https://news.ycombinator.com/item?id=13413091</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.01299:13413091</guid><pubDate>Mon, 16 Jan 2017 21:13:01 GMT</pubDate><description>&lt;p&gt;If you click enough links, you may eventually find your way to the paper: https://arxiv.org/abs/1606.01299&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.01299/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>RAISR: Rapid and Accurate Image Super Resolution — HN submission</title><link>https://news.ycombinator.com/item?id=13389916</link><guid isPermaLink="false">urn:hackerpapers:submission:1606.01299:13389916</guid><pubDate>Fri, 13 Jan 2017 11:00:28 GMT</pubDate><description>&lt;p&gt;RAISR: Rapid and Accurate Image Super Resolution&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1606.01299/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>RAISR: Rapid and Accurate Image Super Resolution — mentioned by yamafaktory</title><link>https://news.ycombinator.com/item?id=13389867</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.01299:13389867</guid><pubDate>Fri, 13 Jan 2017 10:46:05 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/abs/1606.01299&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.01299/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>RAISR: Rapid and Accurate Image Super Resolution — mentioned by lotyrin</title><link>https://news.ycombinator.com/item?id=12953495</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.01299:12953495</guid><pubDate>Mon, 14 Nov 2016 21:22:59 GMT</pubDate><description>&lt;p&gt;Those looking for quantitative comparison of this against other techniques, it&amp;#x27;s on page 21 of the paper ( https://arxiv.org/abs/1606.01299 ) Edit: and to see for yourself in more detail there&amp;#x27;s https://drive.google.com/file/d/0BzCe024Ewz8ab2RKUFVFZGJ4OWc...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.01299/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
