The Elusive One-Click Instant Fix

From the very earliest days of digital photo editing software, developers have been trying to create the ultimate instant fix button. Whether it's labelled “quick fix”. “auto-correct” or “auto-balance”, google had “I’m feeling lucky” and later “auto-awesome”, the goal has always been the same: to make photo editing as simple and effortless as possible. However, despite numerous attempts, none of these one-click fixes have truly lived up to their promise.

The trouble is, while digital cameras have improved significantly over the years, they still can't cover every situation. And even when they do capture a great shot, there are often still some focus and exposure issues that need to be addressed. This is where photo editing software comes in, but finding the perfect balance between automated fixes and manual editing can be a challenge and all too often very tedious.

Over time, I started to warm up to auto-fix tools and even created my own preset for Lightroom called SDR+. However, I didn't use it much, as I found it was often quicker and more trustworthy to just fiddle with the exposure sliders manually.

It wasn't until I started experimenting with Macphun's Aurora HDR that I really began to see the potential of what AI (Artificial Intelligence, in the form of Neural Networks) could do. This software used the networks to segment the image into different areas, such as the sky, foreground, background, buildings, and foliage, and potentially correct those areas separately. However, this information wasn't shown to the user. It would have been nicer to have access to it through prebuilt masks. Just be patient that feature would eventually come.

However, the developers' approach was somewhat arrogantly more focused on "we’ll do it better than you" and releasing regular updates for users and expecting them to sit back and enthusiastically pay for what they were being fed.

Skylum’s Photo Lemur showed great promise when I was invited to beta test it. Having previously tested Nic's Collection and Snapseed when they were still Macphun, and also looking at a pre-release Windows version of Luminar, I could see that the big difference with Photo Lemur was its simplicity and ability to batch process many files in a reasonable amount of time. It did a good job, although not outstanding, especially for social media where post-processing excellence would go unnoticed. It's biggest appeal that you don’t have to do anything was also its biggest weakness, you really can not control anything. Still I bought it straight away and still occasionally use it.

Macphun became Skylum and their software creations Aurora HDR and Photo Lemur were great examples of how AI can enhance the editing experience and made it easier and more efficient for photographers to create beautiful images.

Looking back AI within photo editing was still in its early stages, slowly making small incremental steps usually with room for improvement. The really rapid expansion of the tasks AI could perform and the rate of improvement were about to explode

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.

Dynamic Range and keeping colours real.

The HDR method has become notorious for crunchy texture and oversaturated colour. However it doesn't need to be like that.

When I took the test photos for yesterday’s post, I also took a couple of bracketed sets with both my Pentax and Olympus cameras and the RAW format version were processed in the same default manner in Aurora HDR 2019. This new version of the software analyses each photo in the bracketed set before they are combined into a HDR extended dynamic range and bit depth format. Syklum, the developers of Aurora, call this the Quantum HDR Engine which in part uses AI technology to find the scene style and key objects and then adjust tonal balance and colour to ensure detail in the highlights and also details in the shadows. This seems to produce a very natural tone mapped image. This can also do a nice job off just one RAW image providing it is reasonably exposed. My experience (less than 2 months so far) has been you can save the image at this time and be happy with both the tonal balance and colour rendering looking very natural

On the Aurora screen you then see “Filters” (collection of related sliders that can adjust key aspects of the image) om the right hand side and “Looks” (aka presets, which are specific setting of the filters). The Looks tiles along the bottom of the screen will let you experiment with different approaches to the tone mapping and possibly lead you into the those oversaturated, crunchy HDR looks, so I’ll avoid then for now. At this stage I was happy with the tonal balance but felt to colours could be stronger (looking at the colour wheel). This is an important step, rather than use the Saturation slider in the color filter (which increases the saturation of every pixel by the same amount) I used the Vibrance slider slightly (which leaves the fully saturated colours alone and only lift the saturation of lesser colourful pixels). I also increased the Color Contrast, this slider adjust the relative contrast between colours in a similar way to the normal contrast slider works with tone (luminance). It is my experience so far that small adjustment of this slider to expand colour contrast can have a big impact on how natural the resulting colour balance appears, In other words used Vibrance and Colour Contrast lightly but keep you hands off the saturations slider.

The images above compare the resulting HDR image for my Pentax K20 (one the left) and Olympus OMD EM10iii. Like the straight out of camera jpegs the Pentax HDR image is a little underexposed compared with the Olumpus but the colours are still natural but a little richer than yesterday’s Jpegs.

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

The Big Vert-a-rama

Stands of Gum trees can be hard to photograph because they are so tall. Also I was looking for examples of this isssue of showing verticality for my up coming sketch crawl (in the context of David Hockney’s observations on photography and seeing for his bigger picture series).

In front of me on the track I was meandering along (actually doing detailed sketches, like these on the right). I looked up and in the strong Australian afternoon light was typical challenging composition, the understory in shadow, very tall straight trunks, some almost white in full sun others dark in shadow but the canopy just lacy against the deep blue sky. I know a single exposure is a recipe for blown out sky and/or blown out shadows. So I grab my little Olympus switched over to multi-bracketed exposure. I’ve been really pushing hard against Aurora HDR 2019 and hitting it with 5 exposures (-1.3EV, -0.7EV,  O.OEV, +0.7EV, +1.3EV), to see if their was notable differences in the image quality (not so noticeable in detail but possibly there is in better colour rendition) Then I did three “compositions” the path and understory the top of the understory and tree trunks and finally up above into the canopy.  Rather than holding the camera to a given exposure/ISO regime I left it in automatic so the average exposure could suit the section of image being photographed. So I had 15 exposures (saved in both Jpeg & RAW formats ie 30 files). I used the RAW files in Aurora, to start with higher dynamic range.

First I ran each set of bracketed exposures through Aurora HDR 2019 and save the default tone mapped image (ie no tonal tweaking or use of “looks” (presets). So far so good. I saved them as as both .tiff (to keep the extra bit depth of colour) and Jpeg (sRGB) to show here.

Finally I assembled the three tiff files using On1 Photo RAW 2018.5. I did a little rotation and cropping and exported the full image (now 4079by7105 pixel) but no other edits now as a final jpeg (back to sRGB). There is great detail in the understory and also a nice blue (not overblown sky). This combination has worked well, below is a link to the image on flickr which is the full resolution (click on it to view in flickr)

The Sunset in HDR :: three ways

There was a half decent sunset tonight, and a perfect opportunity to test out a 5 bracket exposure and three different approaches to post processing the higher dynamic (and 32 bit colour) image in the new AuroraHDR 2019.

Firstly I really confirmed that the default tone mapping is pretty good (almost good enough by itself). However it was then easy with the adjustable Gradient filters to add a little vibrance and warmth to the top of the photo. Giving a result perhaps a bit closer to what I experienced. Then I tried a couple of presets (now called “looks” in Aurora HDR) and settled on Warm Landscape as the best match albeit perhaps a little too colourful. This is powerful stuff and a joy to use.

Playing with Looks & LUTS in AuroaHDR 2019

The new Aurora offers a many new capabilities, particularly in how it “prepares” RAW files to be merged by applying an AI (artificial intelligence) neural networks derived from how other photographers approached exposure, tone mapping and colour renderings of similar scences, to the individual input photos before they are combined. Rather than formulaic presets/filters applied to the merged and higher dynamic images after they are prepared. The difference is a bit like an unseen black box process. There are a few aspects however of the new Aurora that make themselves very obvious to the user. These are looks (the new name for presets) and LUTS (look up tables).

I thought for now I would just show how much these can affect a single input photo of some native flowers. They are all achieved with a single click once the input image is tone mapped.