<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>_aavaa_</author><text>I don&amp;#x27;t think that&amp;#x27;s true. Capture One introduced HDR merging in one of their recent releases [0].&lt;p&gt;It does raw in &amp;quot;raw&amp;quot; out. You get a DNG out which is demosaiced. I have not yet looked to see what it&amp;#x27;s doing under the hood, and how the result compares to EXR. (But in my experience, it seems to struggle with large exposure differences, even when on a tripod).&lt;p&gt;[0]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;support.captureone.com&amp;#x2F;hc&amp;#x2F;en-us&amp;#x2F;articles&amp;#x2F;4410014730257-HDR-merging-overview&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;support.captureone.com&amp;#x2F;hc&amp;#x2F;en-us&amp;#x2F;articles&amp;#x2F;44100147302...&lt;/a&gt;</text><parent_chain><item><author>astrange</author><text>There is no consumer software that can do what the iPhone does with its sensors.&lt;p&gt;iPhone HDR produces an HDR image file. Consumer HDR apps do the opposite - they take an HDR raw and tone map an sRGB JPEG out of it.&lt;p&gt;The only portable format that really supports HDR images is EXR, so if you&amp;#x27;re not generating that you&amp;#x27;re not getting it.&lt;p&gt;(I don&amp;#x27;t think there&amp;#x27;s anything that can do deep fusion either, though obviously you need it a lot less.)</text></item><item><author>buildbot</author><text>There is no reason to do this. If you want to apply the algorithms and Iphone uses, simply take a burst and post process later for HDR or whatever. I remember being in middle school and messing around with Hugin and my Minolta bridge camera…&lt;p&gt;People value quick shots&amp;#x2F;edits and don’t care about quality or editing things later don’t mind an iPhone doing all this behind the scene - but it is irreversible. The sort of error in the article would drive myself and other photographers up the wall.&lt;p&gt;Also, an Iphone has a CPU and ISP that outclass desktops from only a few years ago - camera manufacturers simply don’t have the same compute available.&lt;p&gt;On the other hand, some brands do provide interesting computational photography in their cameras at the very high end. Panasonic mirrorless full frame cameras have a pixel shift mode for super res&amp;#x2F;no bayer interpolation, with some ability to fix motion between steps. Phase One has frame averaging and dual exposure in their IQ4 digital backs, for sequential capture into a single frame and super high dynamic range respectively.</text></item><item><author>delta_p_delta_x</author><text>I would like to see computational photography applied to raw images from DSLRs and MILCs with APS-C and larger sensors. Perhaps Canon, Nikon, Sony, and Fujifilm could have built-in options in their cameras for ‘social media mode’, with a modicum of noise reduction (honestly unnecessary at ISOs lower than about 1600 for modern cameras), but drastically improved HDR and white balance.&lt;p&gt;Many of these cameras are able to take bracketed[1] exposures, and the SNR in even just one image from such sensors is immense compared to the tiny sensors in phones. Surely with this much more data to work with, HDR is much nicer and without the edge brightening typically seen in phone HDR images.&lt;p&gt;[1]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.nikonusa.com&amp;#x2F;en&amp;#x2F;learn-and-explore&amp;#x2F;a&amp;#x2F;tips-and-techniques&amp;#x2F;exposure-bracketing-the-creative-insurance-policy.html&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.nikonusa.com&amp;#x2F;en&amp;#x2F;learn-and-explore&amp;#x2F;a&amp;#x2F;tips-and-tec...&lt;/a&gt;</text></item></parent_chain></comment><story><title>The limits of &quot;computational photography&quot;</title><url>https://yager.io/comp/comp.html</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>buildbot</author><text>Sure, there’s not a photoshop button, but does github count &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;timothybrooks&amp;#x2F;hdr-plus&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;timothybrooks&amp;#x2F;hdr-plus&lt;/a&gt;&lt;p&gt;It’s just an algorithm.</text><parent_chain><item><author>astrange</author><text>There is no consumer software that can do what the iPhone does with its sensors.&lt;p&gt;iPhone HDR produces an HDR image file. Consumer HDR apps do the opposite - they take an HDR raw and tone map an sRGB JPEG out of it.&lt;p&gt;The only portable format that really supports HDR images is EXR, so if you&amp;#x27;re not generating that you&amp;#x27;re not getting it.&lt;p&gt;(I don&amp;#x27;t think there&amp;#x27;s anything that can do deep fusion either, though obviously you need it a lot less.)</text></item><item><author>buildbot</author><text>There is no reason to do this. If you want to apply the algorithms and Iphone uses, simply take a burst and post process later for HDR or whatever. I remember being in middle school and messing around with Hugin and my Minolta bridge camera…&lt;p&gt;People value quick shots&amp;#x2F;edits and don’t care about quality or editing things later don’t mind an iPhone doing all this behind the scene - but it is irreversible. The sort of error in the article would drive myself and other photographers up the wall.&lt;p&gt;Also, an Iphone has a CPU and ISP that outclass desktops from only a few years ago - camera manufacturers simply don’t have the same compute available.&lt;p&gt;On the other hand, some brands do provide interesting computational photography in their cameras at the very high end. Panasonic mirrorless full frame cameras have a pixel shift mode for super res&amp;#x2F;no bayer interpolation, with some ability to fix motion between steps. Phase One has frame averaging and dual exposure in their IQ4 digital backs, for sequential capture into a single frame and super high dynamic range respectively.</text></item><item><author>delta_p_delta_x</author><text>I would like to see computational photography applied to raw images from DSLRs and MILCs with APS-C and larger sensors. Perhaps Canon, Nikon, Sony, and Fujifilm could have built-in options in their cameras for ‘social media mode’, with a modicum of noise reduction (honestly unnecessary at ISOs lower than about 1600 for modern cameras), but drastically improved HDR and white balance.&lt;p&gt;Many of these cameras are able to take bracketed[1] exposures, and the SNR in even just one image from such sensors is immense compared to the tiny sensors in phones. Surely with this much more data to work with, HDR is much nicer and without the edge brightening typically seen in phone HDR images.&lt;p&gt;[1]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.nikonusa.com&amp;#x2F;en&amp;#x2F;learn-and-explore&amp;#x2F;a&amp;#x2F;tips-and-techniques&amp;#x2F;exposure-bracketing-the-creative-insurance-policy.html&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.nikonusa.com&amp;#x2F;en&amp;#x2F;learn-and-explore&amp;#x2F;a&amp;#x2F;tips-and-tec...&lt;/a&gt;</text></item></parent_chain></comment><story><title>The limits of &quot;computational photography&quot;</title><url>https://yager.io/comp/comp.html</url></story>