It is so easy to use your images from your smartphone cameras. Many photographers can’t understand why they still need to use SD card, or connect the camera through Bluetooth or Wi-Fi, and download them to a hard drive, whether a PC or a Mac or another device, and finally has the files available in the cloud, hopefully. I have tried to streamline the process as much as possible but it far from being an easy path . One may believe it should be like your smartphone camera: take your picture, have it available in the cloud without doing anything as we all have a smartphone in our pocket when we shoot. In theory, it should be the same experience. In reality, it is not.
Integration still at its infancy
There are several steps which work fine, or just ok but do the job. For instance, with the new Snapbridge app of Nikon, the connection between the camera and the smartphone is done not with too many problems. There is still the strange need to switch to Wi-Fi but that’s understandable as we want to download RAW images, Bluetooth is certainly not the right technology. It used to be different, so let’s be honest, it is improving.
However, if you want to have the images downloaded thanks to Snapbridge in RAW directly uploaded to your cloud provider (OneDrive, Google Drive, Dropbox, just to name a few I have tried), Good luck… I am not saying it is impossible but after having “invested” a couple of hours trying to streamline this process, I have to admit I have failed !
I have tried another app than Snapbridge: Camera Connect and Control for Android. The “Auto Download” feature looks promising. In theory, it does exactly what I am looking for. In reality, not so trivial. First, you need to pair your camera with your smartphone by Wi-Fi. It is not done automatically, like with Bluetooth. It can’t really be as it will disconnect your smartphone from any other Wi-Fi network, right. That said, as soon as you have done this pairing, the auto download of RAW files works very well. The app cost not much – less than $10. So, let’s say it is better than the Snapbridge experience by far thanks to the auto download feature. Of course, you have to try whether this app works for your set up (different cameras, smartphones and raw files format can have not so good results as usual) but it is really promising.
Since it takes so little effort, it’s easy to do before bed each night, or when you’re about to head out in the morning. But I would not do it “on the fly” in real time like I can do with my camera’s smartphone…
Let’s move to a next step
A “transactional” process is still missing: I would love to have a consistency check and verify all the images from my camera has been effectively saved in the cloud and I would have this done in real time – either through the phone network or at least automatically whenever the smartphone is connected to a Wi-Fi network. And delete the useless images automatically in my camera as next obvious step. If you start to download a whole photo session of hundreds of images, how can you be sure the Wi-Fi has not been disconnected and a few images are missing? If you need a manual check, the whole process is becoming useless but for some niche needs. But we are not that far… That’s a positive way to stay we can’t prevent, from my perspective, to avoid a manual download of the SD card. Yes, USB-C and auto-upload from cloud providers help, but it is still more painful than your cheap (or not) camera in your smartphone…
November the 14th of 2019 has been the day of the official launch for Futura Photo 1.0. The company behind this software if Camera Futura Sàrl, headquartered in Geneva, Switzerland.
The software aims at streamlining the pre-process steps needed after a photo session. Indeed, over the last years, I have had the feelings I was wasting my time at culling images after a photo session (1) and (2) I was not always very efficient.
Of course, professional photographers who are always
shooting the same kind of images have learned how to cull efficiently their thousands
of images every week. But for amateurs shooting 10’000-20’000 images per year
or for people who like to try and experiment, I concluded a tool was not only needed
to fasten the culling itself and to do it in a more efficient way, but also to
propose a “quality gate”. Many images should indeed not even pass this gate as
they just not fulfil some requirements when it comes to acutance, exposure. Furthermore,
duplicates have always been a struggle for a photographer. Similarly, managing
hundreds or even thousands of time lapse members can be time consuming.
Panorama members can easily be missed when you start to build panoramas of 10 plus
I could add much more examples where we would need a software
to help us, photographers, even before starting the post-process work: aligning
time lapse members when our camera has been shaken by wind, choosing either JPG
or RAW when both shot altogether, and much more.
I have noted that over the last year, I have done a good job
at keeping only the best images – only 5% maximum of what I am shooting but
because I am investing time after each photo session. And these tasks are not
funny. They are boring, time consuming… and from my perspective very important.
I don’t keep the useless images which would “pollute” my images library, or
which would require several terabytes. From these years, the need to automate these
tasks have become more and more obvious. Last and maybe not least, this is important
for our future in
a sustainable world!
That’s Futura Photo goal and being a complement to the
existing many software which are helpful to photographers, helping them
spending more time doing what they like and less time at what is needed but not
This is not the most glamorous title one can expect as image processing after a photo session is often a pain at its worst, a necessity at least. It is something photographers don’t like much to talk about. They prefer to discuss how to enhance their images. Fair enough. But execution is key, and it is not because it is boring that it is not important !
So, even before going to the processing itself, meaning classifying
images in categories (Best, to be archived, to be deleted, …), enhancing the
best with ad-hoc software (photoshop, lightroom, Capture One, whatever, …),
there are some steps which are all uninteresting, time consuming. In
If you shoot RAW +
JPG, you need to find out what to do with either the RAW or the JPG,
If you shoot time
lapse and manually compose them (with software like LR Time Lapse),
If you shoot Panoramas
that you want to also manually compose,
If you don’t like,
like me, storing dozens of similar images, you must delete first duplicates,
If you don’t accept
some images because of their exposure, grain, or other technical issue,
If you shoot both
Videos and still images (both will require usually dedicated workflows),
… and much more.
I am still surprised to see these steps have not been automated, or very
partially and certainly not in an integrated way to let photographers with
different need improve their productivity, but also be supported by modern
technologies to help them choosing maybe not the best image, but at least to
automate the files move/deletion or just to fasten these different steps whilst
making them more efficient. For example, I am not aware of a tool which would help
to detect which images are part of a panorama. Many software exists to let you assemble
a panorama but when you shoot thousands of images, it is not so trivial to
detect panorama members, from below average images.
Another example will be for the time lapses. Hundred or thousands of
images with some of them part of time lapse, other not, can be tricky to detect
and at least, it will take some time to sort out the whole set of images.
Last and not least, I understand the “one stop shop approach”. That’s
the holy grail in software and what Lightroom (or its direct competitors) tries
to achieve for most of photographers. But I am not convinced as needs can be
antagonistic and one stop shop means “compromise”. This means I would rather,
maybe naively, believe in long-term trends to have software working together
and not just one doing everything. My point? There is still room in 2019 for
new software when it comes to the image’s workflow.
in photography is well known and whereas sometimes done on purpose, it mostly
comes as a non-desirable effect, because of poor exposure (worst case) or at
least reaching the limits of the sensor range (best case). By clipping, I mean both
blowing highlights and clipping blacks. The topic has been debated countless
times in different forums and blogs.
As a summary, some people believe it does not really matter
as long as the photo is great and other advocate why and how to avoid it. Other
rightfully point out it is sometimes better not to fix it whereas other explain
in detail how to do it the right way.
This is a classic case of different opinions in photography
between those who do not want to consider something else than the purely
artistic result and the scientists obsessed by being consistent with some
physical principles. As usual too, both are right and wrong at the same time.
Indeed, what matters in photography is the result, the emotions a photography
can carry, and whether you like it. Period. Clipping, no clipping, who cares.
At the same time, it is true to say that blowing your sensor which can no
longer deliver any information but “I am blown” (white burned) or “I am blind”
(black clipped) is not really what someone can call good practise, to say the
I am trying in this post to find a way to make all these
opinions somewhat aligned, in a very much Swiss-like consensus way.
How to detect it and how to fix it
There are also plenty of information about the topic. I
would recommend reading:
Most of the people know well the “physical” clipping: when the sensor is blown. Technically speaking, it means the pixels of a given channel (R, G, B) or its luminance (Based on the square root of R, G, B weighted according to the human eye characteristics) is at its maximum value (typically 255 for 8 bits JPG) or its minimum (0).
But it is also important to remember that what matters is
the “visual” clipping: the pixels that are almost blown or clipped also matter
because (at least for JPG images), there can be no way to really fix them
properly and get information from the clipped regions of an image.
Let’s have a look at the clipped pixels highlighted in blue for the blacks and red for the highlights in the image below. First, one could argue that using JPG for such conditions is not the best idea, RAW would have been by far a better choice but without going to start another countless debate RAW vs. JPG, the image has been poorly exposed as there is no clipped pixels in black (they would be in coloured in blue in the image below) whereas they are quite a few blown ones (in red below). So, basically, it says the image should have been significantly less exposed..
But whereas the number of actuals blown pixels in red is not
so significant, the number of visually clipped pixels is at an unacceptable
level. It is making the image ugly whereas it was an interesting one. There are
almost blown from a physical perspective, but for our eye, they are just blown…
you can try to reduce highlights or exposure, there is basically no information
recorded into the sunny mountains part of the photo. The image will stay poor.
So, what matters is not the truly clipped pixels but those which look clipped. Using
Lightroom or other software tool is not enough even if, again, you can’t do
much to fix it when you shoot JPG. That’s a good transition to the next point.
Clipping is not the same animal when you shoot RAW or JPG
I believe it does make sense to differentiate JPG from RAW
images when it comes to clipping. For RAW images, with modern sensors, clipping
images is rare. Or you really do it on purpose. Or you have no idea how to use
your camera’s exposure systems! The below example shows how tolerant sensors
are now to clipping:
I know it is not so simple and you can clip some parts of a photo
despite your goodwill and expertise whilst shooting RAW. My point, however, is
to say it is rarely a problem and it is easy to identify and to anticipate as
it will only concern extremely high contrasted images.
When it comes to JPG, this is a totally different story. It can
be easy to clip parts of an image and it can be difficult to fix it as we have
seen above. What matters is first to know quite well how to detect that the
image will have some clipping. Second, you need to know whether it is a problem
for your image or it is not. There is no good answer to this (from my
perspective, though, it will very often be a problem). One approach would be of
course to shoot RAW anytime there is a risk of clipping, just to have more
latitude in the process, but it is not always possible or desirable. At least
you know what to do. So, it looks important to understand the causes and the
consequences of clipping and how RAW can fix it while bringing the usual inconvenient
of shooting RAW (processing time, file size, buffer limits, …). If you don’t
shoot RAW, you normally have reasons for this choice. This is a good transition
to the next point: this is where good and bad clipping matters as well in your
The Good clipping and the bad clipping
The bad clipping is the one you should not get. Just expose
better your image by underexposing it when you have bright parts or
underexposing it when you have potentially too many black clipped pixels.
The good clipping is just inevitable. Below an example:
When we analyse the image below, we can see we have both blacks
clipped and highlights burnt. In red the burned pixels, in pink the “visually”
clipped ones. In dark green the black clipped ones and in light green the “visually”
Having significant both red and green zone just say you are
going beyond the capabilities of your sensor. Just buy a better one with a
higher dynamic range… or use an artificial way (flash, umbrella, filters …) to
decrease the contrast, which of course is not always possible or desirable
depending on the kind of pictures you are shooting.
Conversely, if you aim at having high (or low) keys images, the
result will be clipped, fair enough but the pre-processed images – before you
start to work at them, the RAW images or the JPG out of the camera should not
be clipped. And to illustrate this, a cute gallery that I like of high
I like these images but I would not bet they were clipped out
of the camera.
Good principle: clipping is bad
Long story short, it will be difficult to convince me
clipping is not bad. Indeed, if you are looking to shoot high or low keys image
or if you want to stylize your images, that’s more a post process thing. If you
know what to do, you can argue “I clip on purpose” but most of the time,
clipping is just bad. Your sensor doesn’t provide information any longer but a
very black and white approach of the reality. What you will do in the post
process is a different discussion, when you shoot, and you anticipate clipping,
unless knowing exactly why, you should just take whatever it takes to limit it
(thanks to under/over exposing or bracketing) or avoid it (same actions + RAW +
Conclusion and summary
Let’s start by another example. From my perspective, this
image below is poorly exposed, over clipped in a white grey ugly sky:
The light was terrible, due to some haze caused by hot air.
This image looks ugly to me whereas Mopti is such a dramatic city and I have
tried to post process it, there was no way to fix it (I was travelling, was
short on time, and I did not see a way to avoid clipping). Light is bad, it is
what it is.
My point: clipping is (very often) bad even if you can’t
avoid it. They may be some counter examples (try to shoot an image of a polar
bear in the artic without clipping the snow…) but they demand to have at least understood
how to produce a pleasant image and taking counter measure to reduce the visual
impact (shooting RAW, shot only when there are some shadows to produce some
darker zones, …).
When you always shoot the same kind of picture, you know what
you are doing. You don’t really need the following conclusion as you have no
problem to deliver images you are familiar with. But it is also good in life to
try new things. And it is good to remember some good principles because when
you shoot new subjects, in a new way, in new places, you will have many reasons
to fail delivering great images. It is good to remember some basic principles.
Beyond all the discussions and remarks, I like to remember something easy not
Shoot whatever you like, but clipping is bad.
The more you know how to detect it, avoid it or at least manage it, the better. It is not a fight between art and science, it is about discipline.