The quality of slide scans

When we were children, photos existed in two formats: as prints and as slides.

The prints were stored in photo albums curated by my parents, and the slides were tucked away in their original little plastic boxes in a bookshelf. Our collective memories were safe.

Every so often we’d find ourselves gathered around the dining room table and Dad would pull out the slides, insert one into the slide viewer and pass it around while recalling an exciting anecdote or another one of his tall tales.

The slides had completely disappeared off my radar until early 2008 when my father brought them over — along with a slide scanner he couldn’t figure out how to operate.

Logik LDScan11 slide scanner

Once we did, the results of those scans were rather scattershot.

We blamed it as much on the scanner as the quality of the slides (which had always been stored properly in a dark and dry place) and some of the original shots (blurry and/or poorly exposed). Nonetheless, we did manage to salvage a few good pictures. My father was generally satisfied with the results and left the scanner as well as the slides in my care because I knew that someday I would revisit them with my trusty old Epson Perfection 3490 Photo flatbed scanner.

That day arrived in early 2020. It was time to digitise all my photos.

By then, my own analogue photo collection consisted of a multitude of prints and Polaroids, the aforementioned 35mm slides as well as the original negatives from my own basic analogue cameras.

Before launching into the project, I made the mistake of looking for inspiration and workflow ideas because, well, it’s not like I’ve never scanned anything before, right?

Advice for the grossly incompetent exists in spades; what follows are my thoughts and experiences on the matter. Brace for impact!

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September and the inner demons of detritus

This CD, as I begin to write these words today, is exactly 20 years old.

It’s never been played. It’s a virgin.

What is the Quadrumatrix? A 20-year-old CD-R, that's what!

What happened?

I found the CD during a recent archaeological dig in the basement. It wanted to be found because, just a few days prior, a colleague had given a presentation about techno music, complete with a live demo of his mixing skills. While none of the gear and tools he showcased were entirely unfamiliar to me, it did get me to wax nostalgic about the crudeness of the tools and methods we used to create our own series of mixing projects back in the day – and we didn’t use turntables or CDJs either. We relied on audio files while my colleague mixed tracks live via his Spotify account. He publishes his mixes on YouTube, we distributed ours via CD-R. Does anyone even use those things anymore?

I’m starting to feel old. Things have changed.

This particular CD was the runt of the litter. It’s that extra disc (four, actually) with the cracked case that never found a customer.  It’s that disc I wanted to gift to someone or slip in somewhere when I got rid of a larger batch. I remember the project as clearly as if it was just 20 days ago. How could the last two decades have flown by so quickly? I shudder to realise that in another 20 years’ time I’ll be as old as my father when he died.

And so the CD continues to hang around. Contrary to expectations it still plays.

There are many others like it in the basement: CDs that have never been listened to by me (or anyone else), DVDs of movies I have yet to watch (or see again), and documents to be scanned. There’s material for art ideas that have yet to be realised and tech that’s getting more vintage with each passing year it waits to be rediscovered.

The issue with dated media and technical matter became more palpable when I realised that yet another birthday was looming. Every year is getting shorter, I never seem to find the time (and all those other Floydianisms permeated by the clichéd stench of a mid-life crisis). Why am I even bothering with this stuff? Wake me up when September ends!

I needed to jettison ballast.

There be many monsters hiding in the dungeon.

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Panoramio: To boldly go where no Google car has gone before

Well, how about that?

No sooner had I removed all my photos from Google Places did Google dispatch their fleet of Street View cars to fill in the missing locations in Germany!

It’s just coincidence, of course.

Although both statements are correct they are completely unrelated.

Still, seeing as this year seems to be revolving around nothing but salaried work and digitising my stash of photos, there is a bit of a story to tell. It begins with Flickr.

Flickr is/was a great place to showcase photographs. I’ve been using it for nearly 20 years. Naturally, many of my photos featured city or rural environments with an emphasis on places or objects within them. Eventually I discovered a site called Panoramio.

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Photo stitching software

In my previous post I wrote that AI-based utilities have no place in my personal photo enhancement toolbox. Their results have been more miss than hit on my digitised snapshots. One set of utilities, however, has managed to generate results that almost border on the magical: Photo stitching software.

Many modern cameras and smartphones today feature the ability to create panoramic or 360-degree images but it is stitching software that is able to take photos, ideally from the same vantage point, of one or more subjects and almost seamlessly stitch them together into one larger picture.

So long as the focal point and lighting are similar, the results can be quite amazing.

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Photo restoration through AI? Nope!

In late April I was finally able to declare my photo digitisation project “completed”.

It took me exactly one year to clean up, research, name, and sort over 7,000 scans and photos which ultimately made it into my personal “digital photo album” (if that’s what a stringent directory structure can be called) – and that’s excluding the time spent scanning them in the first place, or culling the ones that didn’t make it.

At this point it would be remiss not to mention AI photo enhancement software.

Despite the recent incredible developments in artificial intelligence and image generation, I remain steadfast that AI still has no role in the workflow for digitising personal snapshots on prints, slides or negatives. While I obviously made basic edits like cropping, or adjusting brightness, contrast, white balance and colours so that the viewer can actually see what’s going on in a photo, my experiences with AI services (read: face enhancing) have done nothing but confirm a phenomenon that’s already been termed “identity shift“.

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AI Photo Enhancement: Boon or Bust for Old Photos?

Digitizing old family photos is a great way to preserve family history and memories for future generations. But let’s face it: old photos can be faded, scratched, and just plain old-looking. That’s where AI-powered photo enhancement software comes in. But is it really the panacea it’s cracked up to be? Let’s take a closer look.

First, let’s talk about the pros of using AI for photo enhancement. There’s no doubt that AI algorithms have come a long way in recent years, and can do an impressive job of restoring old photos. They can remove scratches, fix exposure, and even colorize black and white photos. Plus, the process is much faster than doing it by hand, and can be done without damaging the original photo.

But here’s the thing: while AI can certainly enhance old photos, it can also strip them of their authenticity. By applying a uniform algorithm to every photo, you run the risk of losing the unique character and quirks that make each old photo special. Sure, the photos may look “better” after being run through an AI algorithm, but at what cost? Are you willing to sacrifice the authenticity and character of your family’s history for the sake of a uniform aesthetic?

Before and after automatic photo restoration

Another issue to consider is the potential for AI to add details that were never there to begin with. While it’s true that AI algorithms can restore lost details, such as color and contrast, they can also introduce new details that were never in the original photo. This can happen when the algorithm tries to “guess” what should be in the photo based on surrounding pixels. While this can result in a more aesthetically pleasing image, it can also result in an inaccurate representation of the original photo.

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Current status: Still sorting photos

It’s March 2023, and it’s been about one year since I started digitising my photo collection.

Once I established a proper workflow, the task of scanning slides, negatives, and photo prints was a surprisingly quick (albeit tedious) process — and I will be writing a few words about that another time. What I hadn’t counted on was the amount of time that researching, naming, and sorting of the resultant scans would ultimately take. I will probably be writing a few words about these aspects, too (time permitting).

As a matter of fact, I’m still busy sorting through scanned photos now: it’s shocking to realise that I have more pictures of a puppy I sold last year than of my own mother’s entire lifetime!

While most snaps have now found a home in a rearranged folder scheme, there’s also a stack of vernacular garbage being deleted because it’s lost all meaning and relevance (which I have written about before).

On the other hand, there are some wonderful photographs among the family stash of slides and negatives which, although I have no personal relationship with the captured moments and they have no place in my (digital) photo album, are good enough to keep for their own sake.

African sunset over industrial billowing chimneys, early seventies

Then there are others such as those my father took in the early seventies during the construction of the Cabora Bassa hydroelectric power scheme that may hold some historical or geopolitical interest to random strangers.

Cabora Bassa Dam under construction, early seventies

These will likely end up on Wikimedia Commons whereas other photos of public interest may find refuge at Google Places. Flickr, too, seems worth returning to, and there’s an assemblage of new material for the Human Clock.

This stuff can keep a man way too occupied. That’s all for now.

Photos via Herbert Hönigsperger Snr.

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Review: 2022

Well, here we are again: it’s Christmas 2022. Another year draws to a close.

2022 was a bit of a blurry blemish despite several significant events in my personal life.

If it wasn’t for calendars, one could be forgiven for feeling that we’re still in 2020 or went way back to the year 1920. Indeed, 2022 may be remembered as the fuzzy period during which the world turned into a steaming pile of shit – but only in part due to pollution or climate change: it’s humanity that’s lagging behind its own technological advances.

In 2022 it became illegal to have sex in Indonesia – unless you’re married. The Iranian morality police also stepped up their game and took to beating women to death for not wearing their hijab correctly while the Taliban decided that Afghani women need not be educated. American women’s constitutional right to an abortion was revoked.

Of course there were the usual mass shootings and hurricanes in the USA.

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