Luminous Landscape Forum
Raw & Post Processing, Printing => Adobe Camera Raw Q&A => Topic started by: PeterAit on March 16, 2021, 11:25:38 am
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I have been playing with the Super Resolution tool in the new ACR. Very cool! In a nutshell, it increases the resolution of a RAW file by 4x. It seems to do a really good job and to be a "free" alternative to Gigapixel.
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I have been playing with the Super Resolution tool in the new ACR. Very cool! In a nutshell, it increases the resolution of a RAW file by 4x. It seems to do a really good job and to be a "free" alternative to Gigapixel.
This feature may well have killed Topaz Gigapixel.
I tried ACR Enhance on a photo of peacock plumage. It scales both the dimensions 2x. Then I compared it to Gigapixel (with zero Blur reduction and zero Noise Suppression). ACR looks more natural when viewed at 400%, without the edge artifacts seen with Gigapixel.
And ACR takes just 3 seconds whereas Gigapixel took well over 2 mins.
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In addition, you've got actual raw data:
https://blog.adobe.com/en/publish/2021/03/10/from-the-acr-team-super-resolution.html#gs.vswudd
Your computer will put on its thinking cap, crunch a lot of numbers, then produce a new raw file in the Digital Negative (DNG) format that contains the enhanced photo. Any adjustments you made to the source photo will automatically be carried over to the enhanced DNG. You can edit the enhanced DNG just like any other photo, applying your favorite adjustments or presets. Speaking of editing, I recommend taking another look at your Sharpening, Noise Reduction, and possibly Texture settings. All of these controls affect fine details, and you may need to tune these for best results on the enhanced photo.
Not the case with Gigapixel is it?
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Isn't that a linear DNG, rather than a "true" (Bayer/Xtrans) raw?
From what I infer from Eric Chan's blog post, Enhance details is applied first, and that applies demosaicing, doesn't it?
And I've seen an example where Super Resolution worked quite poorly, it was a focus stacked macro TIFF from a Leica Monochrom (whereas the results were quite good with a single raw from that camera). See this forum post in french (https://www.chassimages.com/forum/index.php/topic,317352.msg7933743.html#msg7933743) (100% crops, Adobe SR at the left, Gigapixel at the right - more details, always in french, at the bottom of the previous page).
Seems the machine learning was self-isolating at the time of the 'shells' lesson?
BTW, there already was a discussion about that at https://forum.luminous-landscape.com/index.php?topic=137874.0 (but the title was perhaps a tad cryptic).
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Isn't that a linear DNG, rather than a "true" (Bayer/Xtrans) raw?
I posted that question yesterday in the Adobe pre-release forums for Eric or other engineers and await an answer.
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Isn't that a linear DNG, rather than a "true" (Bayer/Xtrans) raw?
From what I infer from Eric Chan's blog post, Enhance details is applied first, and that applies demosaicing, doesn't it?
Yes, the output files appear to be linear DNGs. When you compare the file sizes of the raw sensor data with those enlarged by ACR Super Resolution, it's clear the latter have been demosaiced:
-rw-r--r-- 1 xx staff 45M Jan 12 13:21 DSC_5178.NEF
-rw-r--r-- 1 xx staff 531M Mar 10 15:35 DSC_5178-Enhanced.dng
-rw-r--r-- 1 xx staff 26M Nov 9 15:17 XTTH0039.RAF
-rw-r--r-- 1 xx staff 320M Mar 10 20:21 XTTH0039-Enhanced.dng
Still, they're "raw enough" for most practical post-processing purposes.
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BTW, there already was a discussion about that at https://forum.luminous-landscape.com/index.php?topic=137874.0 (but the title was perhaps a tad cryptic).
Yes, sorry about the subject line: I'm a frustrated headline writer. That post does include some sample image files.
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it's clear the latter have been demosaiced
The opposite would be very strange, difficult to achieve and in the end would provide no advantage. The good thing of RAW files is that they are linear so that all colour and shadows/highlight information is there ready to be enjoyed. The Bayer structure is not an advantage per se, rather a disadvantage.
Regards
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Thanks for sharing this topic