An artists journey

Tag: photographic technology

  • Photographing the Unseen

    Photographing the Unseen

    Photographing the unseen? That is impossible isn’t it? If you can’t see it, how could you take a picture of it?

    Ostranenie

    Osranenie is a concept. It is based on showing things in a new way, from a new point of view. I have written on this before and I want to circle back to give some practical applications. No, I still don’t know how to pronounce it.

    Central to the concept is that the artist tries to force the reader or viewer outside of their normal state of perception. The goal is to make you break your normal habits and look at things different.

    A unique ability of photography

    Photography is uniquely suited to help see things outside of our normal perception. Other types of art, like painting, are generative. That is, you start with a blank canvas and what appears is what the artist envisions.

    Photography is totally the opposite. It is basically subtractive. The camera captures everything in its field of view. It is up to the artist to be selective in framing and composing to restrict the image to what he wants to present.

    That is well understood, but in addition, the camera settings and attachments allow exploration of states that we cannot perceive with our normal sight. Without any special tricks, my camera allows shutter speeds from 1/8000th of a second to 30 seconds. And the long exposures can be extended to any length I desire. I can also change lenses to give different perspectives on a scene.

    Photography may be, at heart, a mechanical and technical based art, but that technology allows us to peek into the world in unique ways.

    Camera vs eye

    As humans, our marvelously designed eyes work in a totally different way than a camera. We constantly scan around and “snapshot” small slivers of our field of view. Our minds seamlessly stitch this constantly changing stream of images together, kind of a real time panorama. We don’t notice it happening. What we think we “see” is actually a model built from these scans and our interpretation of its meaning and our experience with similar subjects.

    The camera has no built in biases. It just represents what it gathers in one exposure.

    Time extremes

    I have mentioned time as a variable of photography. But so what? How can that give us a new perception?

    If I adjust my camera to take a frame at 1/8000th of a second, it does it. The result is a frozen slice of an instant that we cannot perceive with our normal vision. A cascade is a classic example. Shooting at a very short shutter speed freezes the motion of all the water and allows us to examine what is truly happening in an instant. All the complexity and the turbulence we cannot perceive.

    On the other extreme, if I expose it for seconds, the water will blur into streaks that give an impression of the overall motion going on. We sort of understand that this is what it might look like over time, but we can’t actually see it unless we take a picture.

    Here are a couple of (not very good) examples. Actually, I seldom use short shutter speeds on water so I had to go out to the local river and generate an illustration.

    Water flowing at 1/400th second
    Short shutter speed, 1/4000th second
    Water flowing at 1/10th second
    Long shutter speed, 1/10 second

    In the first case, the water seems crystal-like, frozen. In the second case there is a distinct impression of motion and flow. The point in each case is that this is not what we actually see when we’re looking at the waterfall. Each is a bending of our perception, revealing new views on the world to us.

    Space

    Our cameras also have the ability to give us different perspectives on the space around us. Our eyes have a fixed focal length that is around 40-50mm equivalent for a 35mm camera. And we see the world in a horizontal format. But we can put a variety of lenses on our cameras to give views from extreme wide angle to extreme telephoto. And we can rotate our camera in different orientations.

    We’re used to seeing our “normal” point of view – that’s why 50mm is called a “normal” lens. A wide angle stretches our view, Things converge in unexpected ways. Lines make distinct new compositions. Buildings “bend” in funny ways. It brings together much more width of view than we are used to seeing.

    And the opposite, a telephoto lens, compresses our view. It narrows in on a small area, like when we look through binoculars. It gets us closer to something we would not normally be close to, such as a wild animal. And it lets the artist draw our attention to details of small parts of a scene.

    Each of these effects is a distortion or exaggeration of our perception. It is not what we actually see, but it allows us to discern the world around us in new ways.

    Motion

    Our perception of motion is another effect the camera can record but that we perceive much different. Try an experiment: move your head rapidly from side to side. You don’t really notice much as your head is moving. As soon as you stop you have a clear view of the scene before your eyes. Our mind kind of “skips over” the motion.

    Or try another experiment: stand beside a road and start straight ahead as cars go by. What do you notice? Something obscures your vision briefly, but we tend to ignore it. It’s more of a distraction to what we are watching.

    The camera, though, sees all that passes in front of it. It doesn’t know to ignore some things as immaterial. I often use the technique knows as intentional camera movement (ICM) to achieve reality distortions to show the world in new ways. The image at the top of this article is such a motion capture. You know what the scene is, but you also know that you have never actually seen the world like that. It helps you think of it is a different way.

    Color

    Another thing we have excellent control of now is color. More or less, change the hue or saturation – it’s easy with our tools. These things could not have happened in early photography.

    I feel the need to single out one significant category of color manipulation that we are very familiar with. Black & white. This is not the way we see the world. By presenting an image without color information, our perception is changed drastically. It keeps us from getting distracted by color and helps us to really look at the shapes and tones and forms in the scene.

    We don’t produce a black & white print now because we are limited by the medium. A black & white print got there by the artist deliberately deciding to remove the color. We may not think of it this way, but black & white images are a deliberate distortion of our perception to help give us a new point of view. It is an alternate reality.

    Bending reality

    Photography has the ability to bend reality in many ways. That is one of the things I love about it. I am not ashamed of it. It is not cheating or an artifice. It is using our creativity to create art.

    I think this quote expresses it well:

    In our time it seems entirely appropriate that the widest choice be open to artists. Those using the camera or other photographic means to produce works of artistic merit should seek to exploit their medium in the most adventurous ways … The derogatory use of the term artifice is more often than not a bugaboo. Art is artifice. Its reality is of another nature than that of the purely physical world.

    Aaron Scharf

    A different perspective

    I really appreciate that photography has abilities to give us different perspectives on the world. I am tending to push in these directions more and more in my work. Of course, artists in other media can do most of these things, but they would have to either have an amazing ability to visualize the unseen, or they would likely take a picture to show them the unknown and then paint it. Photographers do it directly.

    Maybe it is stretch to call this bending of perception ostranenie, but I don’t think so. I doubt if the term will ever catch on. Probably a good thing, because then I would have to learn to pronounce it.

    There are few actually new things in the world. The idea of ostranenie was penned in 1917 – 106 years ago as I write this. But I am happy that photography lets us push the boundaries into new visualizations of reality. It is a uniquely capable art form.

    Let’s go out and shoot the unseen and impossible! Keep on bending! Get outside of normal perception.

  • My Favorite Lens

    My Favorite Lens

    In general, we photographers love our equipment, Especially our lenses. It is not uncommon to have a favorite one. You can always get a discussion/fight started among photographers when you talk about lenses. I would like to discuss what has become my favorite lens.

    Lenses

    The lens is a critically important piece of equipment to photographers. Sensors are improving dramatically and lenses have to improve with them to achieve all the sharpness and resolution the sensor can capture.

    Modern lenses constantly improve in resolution. Look at DxO image tests of current best lenses vs. the best from 20 years ago. Our lenses now enable us to capture more information and be able to produce wall-size prints that are extremely sharp.

    The lens determines the point of view that is captured in our frame. It establishes the field of view, the width of the scene we are capturing. Some of us naturally have a telephoto view. Others have a wide angle view. This refers to the lens choice we tend to select to frame our subjects. This is just personal preference. The lens is a tool to help express our esthetic.

    Many photographers feel they need a whole bag full of lenses of various focal lengths from extreme wide angle to super telephoto, with macro lenses and tilt/shiftes thrown in. Because, you never know what you might find. 🙂 Personally I have simplified my life a lot over time. I generally only carry a 24-70mm and a 70-200mm in my kit. But that is just me and where I am at right now.

    So what we want is a lens or lenses that allow us to capture all the information we want (resolution, sharpness, dynamic range) in the field of view we want. A big ask, but doable.

    Digital workflow

    Most of us are in the digital world now. The digital workflow is quite different from the analog workflow.

    What we call the analog workflow – the film days- involved developers and enlargers and prints and lots of chemicals and time. Personally, these are days I don’t miss. I am a big fan of the power and freedom and flexibility we have now.

    There is a corresponding workflow for digital processing, though. It includes loading images on our computer, viewing them, culling or grading them, processing selects with our software of choice, etc. Each of theses steps is time consuming. Especially since we tend to shoot so many more frames now that they “don’t cost anything”. And each step requires software and considerable training.

    The result, though, is that we spend a lot of time in front of our computer now. We probably spend more time in the digital workflow than we did in the analog workflow.

    My favorite lens

    What does this have to do with a discussion of my favorite lens? Well, in a sense the “lens” I use the most and that has the most impact on my work is my computer monitor.

    This is where I view all my images. Zoomed in to 100% I look at individual pixels. Here is where I crop and color correct and adjust tones and contrast and saturation. This is where I view and edit the image when I convert it to black & white. When I create new images by compositing others together, that is done entirely though the monitor “lens”.

    Yes, all of the things I just said are actually done through specialized software. In my case it is primarily Lightroom Classic and Photoshop. But metaphorically and to me, the monitor is the lens into the process.

    Now days the monitor is where we view everything we do. Regardless of what the original image looked like, what I see in the monitor at the end of the edits is what counts. The result could be a complete re-imagining of the starting image.

    The new primary lens

    I spend more time in front of my monitor than I do outside shooting. More and more it is coming to dominate my workflow. If I lost or broke a lens, that would be terrible, but I could continue doing my art with other lenses with only minor re-adjustments to my vision. I had this experience recently. My 24-70 lens dropped and shattered the polarizer filter. I was up in the mountains and I did not have a filter wrench with me to get the jammed filter off, so I had to switch to using an alternate lens. A little frustrating, but not a big deal.

    But if my computer died, although I could continue shooting, I could not view or process a single image until I fixed it. Eventually things would back up to a critical point and I would have to get the computer back. I also couldn’t select images for galleries or process images for printing. Dead in the water.

    So in a sense, the focal point of the digital workflow is the monitor. That is the new lens I use to view and do most of my work. The monitor is the lens for the increasingly important part of the digital workflow.

    The future

    In the future will this trend increase or will we return to simpler times? What do you think?

    My money would be on the increase of digital processing. We will trend more toward an attitude that the camera and lenses are used to gather raw material, but pictures are actually made in the computer, looking through the monitor. Increasingly, the final image may look less and less like the original capture. Better processing software opens up new possibilities. And viewers are more willing to accept that photography should create something more than a true representation of reality.

    So the next time you are lusting for a wonderful new lens, it might be better to upgrade your monitor instead.

  • Created by Me

    Created by Me

    Generative AI is all the rage now. I suppose there might be some applications for it, but you will not see any of it in my work. What I show is entirely created by me, and I have no plans of ever changing that.

    It’s all around

    The news is full of hype about ChatGPT and Bard and, for images, DALL-E 2. Tech companies are inventing hundreds of billions (yes, “billions”) in it, so it must be about to take over everything, right?

    It is hard to read anything without seeing references to the coming revolution. It is the “next big thing” in tech. MIcrosoft, for instance, has invested huge in ChatGPT and says it will embed it in its browser and all of its applications. With so much press and money and interest, it must be true, right? Maybe.

    But do you understand what it is?

    What is AI?

    I have said before that I am a reforming Engineer. Well, I must admit that at one time I was involved in AI applications. I even believed in it at the time. That is just to say I have some technical background in the subject, so I am not just quoting press releases.

    “Artificial Intelligence” is a weird term. It is definitely artificial. Whether or not it represents intelligence is debatable. To me, there is no real “intelligence” involved. It is just a fancy computer algorithm with a lot of data embedded in it.

    The AI that is hyped today is called neural networks. It is based on a fairly simple structure that tries to mimic the way the human brain is organized by simulating neurons and synapses. Then they train the network with huge sets of data. The connections and values of the neurons and synapses are adjusted to give a desired output for a given input.

    To over-simplify it, imagine a patient teacher trying to train a neural net to recognize an egg. They “show” it a picture of an egg and say “this is an egg” and let the network adjust its values to give a positive output. Then they show it a picture of something else and say “this is not an egg” and again let the network adjust its values to give a negative output. Repeat it over and over thousands, maybe millions of times with different pictures. Eventually the neural net would get pretty good at identifying an egg, if the training data was good enough and extensive enough.

    But so what? The AI does not at that point know what an egg is. It just classifies shapes as being one or not.

    What is the good of it?

    We are discussing generative AI, so I will try to focus on that. Generative AI takes a request to make a picture or song or some such work, maybe based on the style of another artist. You could say “make a picture of a tree in the style of van Gogh”. It would make one. It would probably look like something Vincent might have done.

    If you were generating the image for an advertisement, you might be able to simulate a certain style without the encumbrances of creative fees or intellectual property laws. For you, the user of the image, you get to bypass paying the artist. Or maybe, charitably, you get something you wish the artist had created, but they did not.

    Many companies are very eager to have AI trained to be able to produce minimally acceptable results faster and cheaper than a human. Be aware of those companies that want to get rid of their people and replace them with minimal acceptable results. Have you used an AI-based chat agent to try to get support from a company? My results have been way below minimum acceptable. Maybe search engines is the best application for these bots. Most of the search results already can’t be trusted.

    So for someone wanting something cheap for a practical use, it can be a good thing.

    Is it art? I have my opinion, but let’s get to that in a minute.

    What are the limitations?

    Neural network-based AI only “knows” what it is trained to do. Its abilities are limited strictly by the data it is fed. And I used “know” in quotes because, one of the great limitations of this system is that it doesn’t know what it knows. It doesn’t even know what knowing is.

    AI cannot explain it’s actions. The data compressed into its network has been stripped away from its source. This is going to become one of the major limitations that will cripple it or stop it’s use. So, for instance, when an AI system turns you down for a loan, you cannot force it to explain why. All it can say is that you just didn’t meet the pattern. Lawsuits will come of this.

    And it may produce wonderful seeming results, but it is a cheap trick. AI products are a regression to the average, at best. That is, a large set of training data defines the average of whatever domain is being learned. This is all it knows. It does not understand the difference between unacceptable and acceptable and exceptional results. It does not understand the concepts behind what it is doing at all.

    So when you ask it to make a picture of a tree in the style of van Gogh, its data bank has many images of trees. It has encodings of parameters describing patterns of van Gogh’s style. It can mix them and make something. But it can’t step back and say “Wow, that is great. I’m proud of that! That is good art.” There is no more feeling than a tax form.

    Where does the training data come from?

    This is a little off topic of the quality of the results, but have you considered where this huge volume of training data comes from? Google, Meta, Amazon, Microsoft and many, many others, including your Government, collect and use all the information they can find . This includes public data like Wikipedia or the Library of Congress, but also everything they can scrape up about you. So every network search you have ever done, every web page you have ever visited, all of your email, all of your pictures, your contacts, your contacts contacts, every post you have ever made, your facial images, your job, your salary, your spending habits, all of your telephone calls, everything is just free data to them.

    This is all used without your permission or control. So for an artist, for example, all of their online works can be used to train the AI to do better to try to replace them. And with no compensation or attribution.

    There is currently no accountability for AI or the companies profiting from it. It has been proven that much of the training data used was biased or incorrect, producing bogus responses from ChatGPT. And Google’s Bard got a black eye the day it was announced when it gave false information to a query about the Hubble telescope. No accountability, no ability to explain.

    A passing fad?

    One part of me thinks AI is just another passing fad. It has come and gone before. AI was going to revolutionize the world about 20 years ago or so. It died. Now the pundits are enamored with it again. Most of them are too young to realize it died of natural causes already. But venture capitalists and tech gurus are very quick to throw billions of dollars at “the next big thing”, even if it has been unable to generate any money.

    But no, I’m afraid we will have to live with this for a while. Too many billions have been invested for it to die soon. And it can show some limited tricks. Either you believe AI is a higher and more perfect form of life that will make the world better or you don’t. I don’t.

    Not on my watch

    Lots of rambling, but back to the adoption of generative AI. As far as I can see, I will never use this in my art. This is not like the introduction of digital imaging, where film purists wailed about the passing of a wonderful era. This is not a technology shift, it is a tool that plans to eliminate artists.

    I will use useful tools, like sky selection in LIghtroom or Photoshop, but that is just a force multiplier to get my job done quicker. I could do the same thing myself and I can often get better results. It is like a woodworker using a planer to smooth a tabletop quickly rather than spending hours sanding it. You don’t say the tool created the piece of furniture.

    When you see images from me, they were created personally by me. I don’t and do not plan to use AI to create my art. I don’t think art created by AI is really art, but that gets into the argument of what art is. What I call art is only created by humans.

    Call me a Luddite, but I believe only humans can actually create.

  • Going too far

    Going too far

    We often hear this as a challenge or criticism. “You’re going too far” Meaning, back off. But as an artist, I don’t think I go far enough. I need to push myself to be always going too far. That is how we explore the limits

    Too timid

    I have written about this before, but it is so important I think it deserves a refresh. In a previous article I encouraged us to go “far enough“. But I think now this is too timid an attitude. We should push “it”, whatever it is, too far.

    I know I tend to have too much focus on the actual captured data of the file and what the scene really looked like. Time helps. I tend now to wait to process images until they have aged enough to let me distance myself from the experience of being there.

    But still, I tend to hold back and stay too true to the original. I am learning to push beyond to create something else.

    As a bonus, this short video by Matt Kloskowski might encourage you to think about editing in new ways. He does not talk much about going too far, but he shows an unconventional approach. The kind of thing I am talking about when I recommend pushing beyond the captured data.

    Push it

    I know I’ve said it before, but I find truth in something John Paul Caponigro said “You don’t know you’ve gone far enough until you’ve gone too far.”

    This is something I need to take to heart. The engineer in me tends to make the image look like the literal, original scene. That ends up creating record shots. Sometimes all I need is a record shot, but that is rare. I have to push it more to make the image into art. Into something interesting that goes beyond the original.

    For example, I live in Colorado. If I shoot a beautiful scene in the mountains, so what? Anyone could have stopped there that day and taken the same picture with their cell phone. What sets mine apart? It often will be something more than just the literal scene. It has to rely on my interpretation of what I saw.

    Be decisively indecisive

    So when I suggest going too far, I am not speaking about relationships or physical safety, but my interpretation of the image. I am discovering more and more with time that images can take a great deal of manipulation.

    A raw file from a good camera contains a tremendous amount of data that can be exploited. Editing in Lightroom is completely non-destructive. We can re-edit at will with absolutely no loss. Likewise, although Photoshop is inherently destructive, there are processing techniques that can be used to manipulate images with no damage and with the ability to re-edit in the future. I strongly advise learning and adopting these techniques.

    Yes, I know of good artists who can say they know exactly what they want to do with an image and it is OK to do destructive edits, because they will never change their mind in the future. That is not me. Every time I revisit an image I usually tweak it some. Sometimes a lot.

    Does that mean I am indecisive? Perhaps. I wouldn’t argue the point. I look at it as an evolving artistic judgment. What I see and feel in an image can change over time. So I consciously decide to use techniques to give me the maximum flexibility to change my mind later. Decisively indecisive.

    Don’t worry about breaking it

    Let me use Lightroom (“Classic”, because I consider it the only real Lightroom) as an example. I said that all editing in Lightroom is non-destructive. Do you really understand that?

    Lightroom uses a marvelous design that always preserves the original data unchanged and keeps all edits as a separate set of processing instructions. Don’t believe me? Here is a portion of actual data from the XMP sidecar file of an image I edited today:

    crs:WhiteBalance=”As Shot”
    crs:Temperature=”5650″
    crs:Tint=”-14″
    crs:Exposure2012=”+0.50″
    crs:Contrast2012=”+6″
    crs:Highlights2012=”+19″
    crs:Shadows2012=”0″
    crs:Whites2012=”0″
    crs:Blacks2012=”-12″
    crs:Texture=”0″
    crs:Clarity2012=”+20″
    crs:Dehaze=”0″
    crs:Vibrance=”+5″
    crs:Saturation=”0″

    If you are familiar with Lightroom, you should recognize these adjustments as the contents of the Basic adjustment panel. I’m not sure what the “2012” suffix means on them, but probably a process version. Anyway, this is literal data copied from the XMP file. It is an industry standard format called XML markup. It is just text. If I change a slider, the text value is changed. These text values are read and re-applied when I open the file in Lightroom. The original pixel data is never altered. You cannot destroy the image by editing it in Lightroom.

    What are the limits?

    There are limits, but not absolutes. If we boost the exposure too much, at some point we will introduce an unacceptable amount of noise. If we sharpen too much we will introduce artifacts around edges. We can make such a high contrast image that it cannot reproduce properly on screen or in print. We can increase saturation to the point that it is out of gamut for the screen or print.

    Most of these are sort of a judgment call by the artist of what the acceptable limit is for the intended application.

    But these are just physical limits of what we can do with the tools. The bigger problem, at least for me, is what am I willing to do?

    It’s our mindset we need to break

    I am the one who usually limits the extents of the changes I will make. I am still too much of a left-brained engineer who is constrained by my memory of what the scene actually looked like.

    One way I can tell this is happening is that it is common for me to push an image further every time I revisit it. Upon seeing it again, I think,”that is nice, but I can go further”. And I do. Sometimes the image turns into something different from what I shot. I love it when that happens.

    But it is a constant struggle to give myself permission to do it. I am afraid of going too far.

    Knowing how the tools work and how to non-destructively edit, I should feel free to slam adjustments to the limits just to see what happens. Then back off to the “right” value for the image. I find that the “right” value tends to be higher if I have over-corrected than it is if I come up from the original. I think this is what Mr. Caponigro means when he says “You don’t know you’ve gone far enough until you’ve gone too far.”

    Give yourself the freedom to go too far, than back off as necessary. I will try to do the same.

    Not for everyone

    I know this advice is not for everyone. I still see photographers who say they pride themselves in getting the image “right” in camera and doing minimal editing. That’s their style and their values, so good for them. But if “right” means the closest match possible to the real scene, that seems very limiting. I think we have progressed well beyond the stage of assuming that a photography must be a true representation of reality.

    At least, that is my assumption. I operate from the point of view that I am as free to creatively imagine the contents of my frame as a painter is to create on a blank canvas. Even plein air painters take a lot of liberties with what they choose to include or exclude, what colors to use, etc. Some even use the plein air session as a sketch. Later in the studio they refine and complete it according to their interpretation.

    That is basically what I do. Some images require more interpretation than others, and my tools allow more freedom for manipulation. One reason I think I could never paint is there is no “undo” with paint. 🙂

    Go too far

    So I am discovering that what works for me is to consciously push my adjustments beyond what I first think is right. Yes, it may create a bizarre effect and I have to back it off. But I often find that the new setting I back it off to is more extreme than I thought was correct originally. Seeing the extreme helped me understand a new way to view the image.

    If you do it right, you can’t damage the image. Give yourself permission to experiment.

    Example

    The image with this article is an example. This is the mountains and plains about 5 miles from my home. It seems like every time I go back to the image, I need to tweak it a little. And I always push it a little further. I do not back off of what I already did. I think I am nearly to “far enough”.

  • It’s Just Data

    It’s Just Data

    Digital images are just data, pixels, digital values. Yes, but… That’s like saying paintings are just pigment smeared on canvas. It can become something more.

    It’s data

    Every digital image is data. I won’t go into film. It is the same but different. But a piece of exposed film is just data, too.

    What comes off my sensor is a rectangular array of pixel values, red, green, and blue tuples. Tuple is just a mathematical term for a small set of numbers you keep together and in order. In this case (red value, green value, blue value). This is just numbers. Data.

    When this data is brought into my computer it is still data. The manipulations I do on it in Lightroom and/or Photoshop are mathematical operations. Things computers are good at dealing with. An image may be gigabytes in size, but it is still nothing more than data.

    Data just is. It doesn’t mean anything.

    Interpreted by our minds

    When the data is displayed on screen, I can view it and interpret it as something. This is the key. It means nothing until a human interprets it.

    A particular set of contrasting tones and colors in a region looks like a tree to me. Even if the computer uses an AI classifier to identify it as a tree, that is just a meaningless label to it. The computer does not know what a tree is. An image of a tree cannot invoke memory or symbolism or meaning in the computer. It can in our minds.

    So the data we see on screen, that is just variations of intensity and color, becomes meaningful to us because we are human. The data itself does not encode hope or despair or memories or associations or pain or beauty. That is what we make of the data.

    The pen

    There is an old expression that says “the pen is mightier than the sword.” This is true, but unpack it a little. A literal pen (do you remember what those are?) is not stronger or more forceful that a literal sword. The expression is metaphorical. The force of words conveyed to people’s minds can do more than the threats of swords can.

    This is the case with images. The data making up the image means little. What we interpret from the data when we view it is everything.

    I do not get political in this blog, but from a sociological interest, the protests going on in China (as I write this) are fascinating. Censorship is so strict that the symbol of the protests is a blank piece of paper, representing that they can’t say anything. From an engineering point of view, the amount of “data” in a blank sheet of paper is zero. It is the meaning ascribed to it that makes it powerful. An empty of paper can say volumes.

    What elevates some?

    Back on track, how is it that some data creates a far different effect than others? It’s much more than just the data. For example, here are 2 histograms. This is important data about the color information and distribution of pixels in each image.

    Mona Lisa histogram Random flower image histogram

    Their shapes are not that different. The one on the left has more warm dark tones and is darker overall. The one on the right has a lot of bright reds. Both have a red spike at the high end. But these are just 2 sets of data.

    Would it make a difference if I told you the left histogram is the Mona Lisa and the right one is a random flower image from my reject bin?

    So we cannot take an engineering view of the data to infer the value or user reaction. Our human perception makes all the difference.

    More than data

    The famous photographer Edward Weston once said: “This then: to photograph a rock, have it look like a rock, but be more than a rock.” It is a little bit of a stretch, but I don’t think it breaks badly to say when we press the shutter, we collect data, but it is more than data.

    We could look at the data as an engineer and analyze histograms, tonal distributions, edges, area balances, and 100 other parameters. I know. I have. But my conclusion is that matters little. It gives us ways to describe the superficial data, but it says almost nothing about what the image means to us as humans.

    So what?

    I think we always have to ask “so what?” when we learn something new. Let me share 2 takeaways I get from this.

    The first is that the data doesn’t care. I spent years trying to optimize the perfect histogram, ensuring total, crisp sharpness, capturing and preserving perfect color balance. At this point in my journey I will say that none of that really matters. All that matters is the effect I bring to myself and my viewers. Is it pleasing? Does it make us think? Is there a larger idea behind the surface scene?

    The second takeaway is even harder for me to really grasp. It is just data, and the numbers don’t really matter. This means that what the original scene looked like (the captured data) should have little bearing on what we do with it. Process the data as much as necessary to create a great image. I need to stop being limited in my thinking by the reality I started with.

    If it was an average, sunny scene but I feel it should be dark and moody, fine. If it was a colorful scene but I feel it should be presented in black & white, fine. Crop it. Add texture. The original data should not limit our artistic interpretation. This is one reason I often find it valuable to let images “age” a bit before I process them. I loose much of the association to the real scene and can take a more artistic view of the result I want.

    Today’s image

    I love this image and this place (Ouray Colorado). The sunset was almost blown out from a haze of wildfire smoke. Contrast was challenging. But I had to get something. It was too beautiful to stand idly by.

    Besides B&W conversion and cropping it, the pixels have been bent quite a bit. The image is a couple of years old. I find that every time I go back to it I push it a little more to the extreme. Each time I do, it becomes a little more what I remember of the event. The less I remember the actual original scene, the more I feel free to make it match what I felt.