Luminar :: A perspective of Skylum's AI Journey

The Luminar journey started with Macphun, a company that developed photo editing tools solely for Apple Macintosh computers. They were the original developers of Nik Collection and Snapseed, two of the more popular post-processing tools in the apple market (Mac and IPhone) at the time.

Later, Macphun shifted its focus to the Windows environment as well and started testing new simpler user interfaces. This approach eventually led to the birth of the Luminar suite. The initial versions of Luminar were standalone software that had a photo browser underneath and ran modules similar to the specific style of add-ins they had previously supplied. The software was less expensive and simpler to use, and it was popular with photography enthusiasts rather than professionals.

Macphun, became Skylum, and upgraded the software at an incredible rate compared to Adobe. Some of the upgrades introduced new approaches, which were mainly loved, but incompatibilities across updates were poorly received. The cost and frequency of upgrades meant that owning and maintaining an up-to-date version was becoming expensive. During this time, Macphun/Skylum also developed Aurora HDR in association with Trey Radcliff and included a number of AI-based techniques, specifically being able to recognize different parts of an image, such as the sky, people, buildings, and lakes.

The introduction of Luminar 4 was a significant rethink of the way photo editing was undertaken. Unfortunately, it had several incompatibilities with previous Luminar versions, and some previous tools were missing, so a lot of the previous non-destructive edits could not be reproduced. User were generally not impressed.

Not long after the Luminar 4 fiasco, Skylum released Luminar AI, which was again a new and somewhat incompatible rewrite. It still provided a comprehensive photo editing package but was based on the use of AI-trained tools exclusively to perform most functions. While it was nice to use, it wasn’t easy to figure out what was happening in the edits, and how it might be used as a start further photo enhancements. Some of these issues were quickly resolved with updates. However, some users felt that Skylum was gouging money out of their supporters by releasing new stuff that made upgrading a daunting repurchasing and relearning exercise.

Soon after Luminar AI was released, Luminar Neo was promoted as a totally new way to post-process. However, it was not really compatible with previous iterations of Luminar. While the single enhance slider was pretty amazing, the great list of "edit" tools on the right-hand side of the edit panel showed several of the same sliders, and not always getting the same result depending on which item they were run within. The tools were also grouped into similar tools, favourite, Essentials, Creativem portrait & professionals, which helps negotiate such a long list of edit tools. The fact that there was no attractive price for updating from Luminar AI also got a lot of bad press.

Despite some reservations, many users, including me, still like Luminar Neo and use it a lot. However, it is definitely not as fast on my older hardware, and the solution of buying a new faster computer and having to pay for the extensions does not appeal to me. The extensions, which are a return to the add-in single effect style of tool, can be purchased as bundles (including not yet released features) or individually, plus numerous discount offers, making pricing complex and hides the true cost of getting a full function editor. 

I've chosen to process an "ordinary" photo without surreal colour changes or adding drama (the dark side of AI tools), since it can give a better view of Luminar as a regular photo editing tool.

In conclusion, Skylum's journey with Luminar for me has been a roller coaster ride, with its ups and downs. While some users love the new AI-based approach, others are still nostalgic for the simpler, less expensive earlier versions of NIK Collection the earlier Luminars. Nevertheless, Skylum's commitment to innovation is admirable, and it will be interesting to see what new AI iterations of Luminar will come out in the future.

Reluctantly replacing the sky

I'm definitely not a sky replacement guy, but there has been so much discussion and hype about it I figured I should at least try it. This is a photo I was looking to capture the "sparkle" on the lake with a low winter sun backlighting the scene. This is a challenging photo from the rigors of exposure given the Dynamic Range to be captured, Getting detail in the foreground shadows means the sky (which was the vivid Australian sky blue becomes a blown out grey/blue. Importantly I hadn't taken a bracketed set., to no real chance to recover the sky

Original Photo

My recent purchase (Update?) to Luminar Neo. With it big promotion of the ease of Sky Replacement meant I really should try it out, despite my reluctance to do such things. So here are three results, all achieve with one click to select a sky from Luminar Neo's library and a couple of tweaks for Sky Orientation (the positioning of the sun) and also the Scene Relighting.

Adding a blue sky (clouds)  & relighting

Making it Overcast

Moving to the Golden Hour?

Does it worry me that they all look uncannily real?

Yes a little.

What the? ... is going on at skylum!

I must admit I have read and watched the hype about Luminar NEO. I really can't believe it isn't backward compatible with either Luminar 4 or Luminar AI. Then there is also the constant hype to preorder it. Finally I don't see much in the way of features I would want to use, perhaps with the exception of layers (but they look more like selective filters to me. So I was committed to using Lumiar AI "as is" (ie no more updates)

Then there was a notification that Luminar AI had an update. Great they haven't forgotten their customers.

 Ok it doesn't do much (som extra camera compatibility, fix a big problem with Some Cannon R models and a sky replace feature update (I haven't used the sky replacement in anger yet) Ok not a lot to see. Wrong every time I start I get a pop-up nagged about buying into the Luminar NEO vapourware before its released.

 

You are going to annihilate a lot of your customers Skylum.

A Hybrid Approach 2 :: More Standalone HDR

More than anything else it was the need to run Standlone HDR applications, hat forced me not to let one piece of software (AKA lightroom) control what I was doing and how I was doing it. I have been interested in extending the dynamic range that Digital Cameras capture for a long time and had used many early HDR tools that used jpeg files (and got reasonable results). A lot of these tools let users go over the top, with luminous lurid colour and crunchy tones in the sky, as examples. HDR became synonymous with unconstrained over processing and even despised by many self-appointed photo purists. In some case I would agree but I wasn’t scared away and with the widespread development of RAW editing tools many of the tone mapping techniques where incorporated in the tonal adjustments of the RAW photos (which has in general more information on which to establish the best tonal range). The role of HDR and tonemapping has become more subdued and now offers the possibility to easy lift a digital photo to something like you rembered the light when you took the photo. Rather than the hazy, greyish image you loaded from the card. The extreme HDR effects are dying out, well except for Instagram where “funky” colours might still get you extra followers and real estate where evening photos will all the lights on and a wet path and strong colours still helps sell properties

One of the best known champions of tone mapping is Trey Ratcliff, of Stuck in Customs blog and a couple of years ago he got together with the Mac Phub team (now skylum) and bought together the essential and the best tools to build HDR images and bought out the program Aurora HDR. I was a bit late adopting it but I now have the latest edition Aurora HDR 2019 and I love it. You guessed it its another Standalone Program. Well it can also be setup as an addin. In my view it iss easier to use standalone, similar to the NIK software utilities I have the program icon on my desktop and then just drop the images in my HDR EV Bracketed set onto that icon. You then get the Merge setup dialogue screen, where it is possible to control the amount of antighosting, chromatic aberration and aligning the photos with the set.

The latest version of aurora incorporated AI feature in its new Quantaum HDR engine, that pre-processes a number of refinements steps including object recognition. This takes a little while and again not so long you need to go and make a coffee. You will them arrive at the fairly convenrtial main edit screen with some key viewing controls along the top, with a set of edit tool on the left hand side (which can be easily hidden and/or expanded) and a set of “looks” tiled as thumbnails along the bottom. Looks in aurora are like presets in other software that nicely combine several of the tools. In this case I am quite happy to just accept the default adjustments and tone mapping. I am only left to export the HDR file.

If I am intending to do any further edits of make a large print I save the HDR in Tiff format full size, if I’m posting of flickr or social media it will be a Jpeg of reduced size (eg 2400 on the longest side).

Aurora is currently my go-to HDR favourite.

Merging for HDR :: On1 Photo RAW 2018.5 .vs. AuroraHDR 2019

The photos on the track also gave me a some clearly high dynamic range scenes to compare the two HDR merging applications I currently like.  I began with a set of 5 bracketed photos (-1.3EV, -0.7EV, 0.0EV, +0.7EV,+ 1.3EV) and used the RAW versions on these (shown below is the unaltered jpegs straight out of the camera)

I then merged into both packages using the align image and de-ghosting options in both systems. The On1 version being faster to get to the basic higher dynamic range image (with a generic tone map) which you can pick that up and do further tone and colour refinement as desired. As noted previously the new version of aurora actually refines the individual input brackets using an AI guided system (called by Skylum their Quantum HDR engine) , which takes longer to get to the default tone mapped image. However that default tone map is somewhat optimized to the features of the underlying image. The results where just cropped, but in the case of the AuroaHDR image also vertically transformed to avoid the converging of the tree tops.

The results are both fine, but which is better? The photo on the left comes from On1 Photo RAW and it definitely has done a magnificent job with the shadow detail however it is a little flat compared with the Aurora HDR on the right, which has stronger contrast and slightly more vivid colour. I’m sure I could easily further adjust the On1 Photo RAW output to also show stronger contrast and colour but for now I’m happy with both but Aurora being the new toy has become my favourite. Of course Aurora HDR can not stitch panoramas.

It is worth mentioning that my version of Aurora has been recently updated to version AuroraHDR 2019, whereas my version of ON1 Photo RAW is still version 2018.5

First look at AuroraHDR 2019

I had been eagerly awaiting the release of the update to Aurora HDR (AuroraHDR 2019) particularly to see what use Skylum would be making of their AI capabilities (Quantum HDR engine). I was impressed but also a little surprised!

I needed to use the anti-ghosting selection because the girl on the path is walking towards me and the leaves on the trees were blowing in the winds. It worked well.

The way the AI  enhancements are applied is individually to each image before they are merged (a surprise but probably the best approach). However this slows the merge process considerable as the program goes through the following steps (at least it tells you what is it is doing, where several other programs just show a static screen and make you wait.

• Loading Images
• Detecting Scene Type
• Detecting Scene Objects
• Improving Dynamic Range
• Enhance Image Structure
• Improving Colour
• Final Touches to make it Awesome*

i*after the google+/google photo failed attempts at AutoAwesome, I’ve been sceptical of any awesome claims]

The wait is worth every bit of the delay. The default tone mapped image was really great, (I refuse to use the word awesome) and the tiniest amount of adjustments to smart tone, highlight and shadows, then straightening and cropping gave me the wonderful results below. Pretty dare good for a first run through.

Is PhotoLemur really an Automatic Fixer?

Photolemur, from Skylum, introduces itself as the world’s first fully automated photo enhancer powered by Artificial Intelligence. A big claim, and does it live up to the claim.

Maybe it Does!

It probably isn’t the total magic autofix app, that photographic postprocessing killer. However it is very neat and does a really wonderful job with exposure, tonal balancing and colour. It’s probably close to weaning me off the need for HDR to get photos that look like I remember the light was when I took the photo. Having said that there is one feature that is sure to appeal to those that avoid post processing photos. There is only one button (the export) and one slider (the paint brush dot), which activates  a nice screen width slider which allows you to control the amount of “boost” from the the original to fully enhanced. I would love to understand how the AI works in detail and I don’t yet, but I am impressed this is a significant step in the right direction. Specifically it is touch sceen friendly so perfect for my little HP spectre.

If you act fast you can get both a free trial (with the watermark) and/or buy it for a great preorder price today at PhotoLemur.