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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Guetzli: Perceptually Guided JPEG Encoder · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1703.04421/</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/1703.04421/feed.xml" rel="self" type="application/rss+xml" /><item><title>Guetzli: Perceptually Guided JPEG Encoder — mentioned by TD-Linux</title><link>https://news.ycombinator.com/item?id=13888625</link><guid isPermaLink="false">urn:hackerpapers:mention:1703.04421:13888625</guid><pubDate>Thu, 16 Mar 2017 20:00:37 GMT</pubDate><description>&lt;p&gt;There is no block to block prediction other than DC prediction, so is this effect due to your distortion function spanning multiple blocks? Same for cross YUV channels, because your metric is in RGB space? edit: second read-through I found the paper [1] which explains it. The answer is basically &amp;quot;yes&amp;quot;, where the large scale distortion function is basically activity masking. Normally this would be implemented with delta-QPs, but because JPEG doesn&amp;#x27;t have that, Guetzli uses runs of zeroes instead. [1] https://arxiv.org/pdf/1703.04421&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1703.04421/"&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>
