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Debunking ETTR

Ben Goren , Mar 10, 2010; 07:44 p.m.

As some of you are aware, I firmly believe that the common wisdom of ETTR is bad advice that, when practiced as commonly described, is far too prone to overexposure and heartache.

Instead, I advocate starting with a traditional “proper” exposure, such as determined by metering off a gray card. If the histogram shows no blocked shadows or clipped highlights (or blinkies in the preview), leave well enough alone. Only if the dynamic range of the scene is such that shadows are blocking or the highlights are clipping is it profitable to deviate from such an exposure. When making adjustments, be aware that shadows get noisy and lose detail and that highlights suddenly transition to no recoverable detail whatsoever. Either make whatever sacrifices you feel best fit the scene; alter the contrast using traditional techniques such as altering the lighting; or use HDR.

The common wisdom behind ETTR is that, due to the linear nature of encoded data, the lower stops carry less information. By using a brighter exposure and compensating in post-production, one can capture additional information, leading to more shadow detail and less shadow noise. This effect is carried throughout the dynamic range, of course, but is most pronounced in the shadows where the least amount of information is recorded.

I do not dispute the theory behind ETTR nor claim that the effect does not exist. What I do dispute is the real-world usefulness of the technique as well as the degree of enhancement to be gained. Considering that application of the technique requires one balance right on the cliff of overexposure and that additional post-processing is required, I consider the benefit to be far overwhelmed by the risk and therefore the technique not worthy of recommendation.

Worse, even the theory can only possibly apply at base ISO, as it is exactly equivalent to lowering the ISO. Above base ISO, it simply doesn’t even apply. The signal amplification will have a far more detrimental impact on image quality than any linear digital quantization effects could possibly have. (Of course, pulling detail from underexposed high-ISO shadows is properly known to be insane, but, if you have the dynamic range for ETTR at high ISOs, you also have enough light to shoot at a lower ISO.)

One should certainly be aware of the theory so one might apply it in suitable circumstances — such as, for example, when photographing the proverbial black cat crossing the asphalt road at midnight. But, at other times, the closest that the theory should get to practical exposure is the observation that shadows tend to get noisy and lose detail — and equal weight should be given to the observation that clipped highlights are unrecoverable.

Enough preamble. A theory is useless without tests. To that effect, I performed the following experiment.

I shot a ColorChecker with a 5DII and the 180 L in open shade. I defocused the picture so as to smooth out the texture of the card itself and thereby make noise easier to distinguish; otherwise, the macro clearly resolves each little bump and pit in the surface.

I made two exposures. (Many, really, but selected only two for this demonstration.) One was metered off the middle gray patch of the ColorChecker (which, according to my i1 Pro specrophotometer is XYZ: 19.2 20.1 16.5, D50 Lab: 51.9 -0.95 0.28 on this particular ColorChecker); the other was overexposed by exactly one stop. I used f/8 and ISO 100 for both shots; the metered exposure was 1/30 second and the overexposed shot 1/15 second.

With the following exceptions, I processed the two pictures identically in Adobe Camera Raw. White balance I set (to 6850K, -4 tint) from the neutral square under the yellow square. All development sliders were set at the factory defaults, except shadows were set to 0 (and the other exception noted below). I selected the flat tone curve. All sharpening and noise reduction sliders were set all the way to the left. I used the “Camera Faithful” picture style. Everything else was set to factory defaults. Images were opened as objects at their native resolution in 8-bit sRGB space. The full-frame pictures I Bicubic resampled to 700 pixels wide; the 100% crops are as-is. For both I stretched one canvas before placing the two side-by-side. Finally, I used the “Save For Web” export at JPEG quality 69.

Lab 52 0 0 = sRGB 124 124 124. The middle gray patch with the metered exposure read roughly 143, 143, 143. Adjusting the slider exposure to -0.45 resulted in a proper exposure. This is consistent with my experience of how this particular camera tends to overexpose by roughly a third of a stop, give or take, and is consistent with reports I’ve heard about other 5DIIs. Therefore, the one frame I processed with -0.45 exposure and the other -1.45 exposure.

I will not claim that there is no difference. I expect most people who examine the following pictures with a critical eye will probably be able to tell which is which. I will state that, as far as I’m concerned, the difference is entirely insignificant. Remember, these were processed with no noise reduction whatsoever and tone curves (etc.) that emphasize shadow noise much more than those normally used in artistic work. Not to mention that the subject itself is as textureless as a photographic scene ever gets. Even in this worst-case scenario, were I to make 24″ × 36″ prints from these exact files, you’d still have to stick your nose in the print to even have a hope of maybe being to tell which is which.

First (assuming I don’t screw up the image attachment, as I’m wont to do) is the full-frame shots. I’ll post the 100% crops of the darkest neutral square immediately after.

Cheers,

b&


The entire frame of both shots

Responses


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Ben Goren , Mar 10, 2010; 07:45 p.m.

Here’s the promised 100% crops of the darkest neutral patch.

Cheers,

b&


100% crops of above

Jeff Schewe , Mar 10, 2010; 09:57 p.m.

It would be useful to fully understand the principles behind ETTR if you wish to debunk them...

ETTR has NOTHING TO DO with the amount of levels in the shadows...it has nothing to do with the base ISO (vs altered ISO) is has EVERYTHING to do with the fact that more photons equals less perceptible noise (which means a better signal to noise ratio).

Your test is fine...it proves what you want to prove., but it does NOT prove that ETTR is wrong (or dangerous).

ETTR has EVERYTHING to do with the screen contrast range and the dynamic range of your sensor...if your scene contrast range is equal to or greater than your sensor, ETTR doesn't apply...forget about it and deal with trying to figure out what is the most important tones in your image and expose for them.

However, if the contrast scene of within the dynamic range of your sensor (or lower–as is often/usually the case with soft overcast light) then you are a fool to ignore ETTR...

More photons=better noise

That's the basis of ETTR, has nothing to do with "shadow bits.

You should also test out the fact that HTTR can also actually benefit when "modest" increases of ISO are used...with today's cameras you can prolly go upwards of ISO 800 and STILL take advantage of ETTR if the scene contrast range is below the sensor...

Roger Smith , Mar 10, 2010; 10:08 p.m.

I thought this article was convincing (as a non-expert):
(link)

Joshua McKinney , Mar 10, 2010; 10:30 p.m.

I'm not versed on the theory, but there seems to be a few inconsistencies in your logic:
"... leading to more shadow detail and less shadow noise. This effect is carried throughout the dynamic range, of course, but is most pronounced in the shadows where the least amount of information is recorded."
You just shot a flat evenly lit object to test a theory that applies most when there is shadows.
"... and that additional post-processing is required" and "With the following exceptions, I processed the two pictures identically in Adobe Camera Raw. ... one frame I processed with -0.45 exposure and the other -1.45 exposure."
So your additional processing was one slider set to -1. That doesn't seem like much aditional processing.
Your other point rephrased is "don't miss a shot due to overly complex techniques". I agree on this point.

Ben Goren , Mar 10, 2010; 11:19 p.m.

Jeff Schewe wrote:

ETTR has NOTHING TO DO with the amount of levels in the shadows […] [it] has EVERYTHING to do with the [scene] contrast range and the dynamic range of your sensor[.]

Except, of course, that those statements are perfectly contradictory. Shadow dynamic range is defined as the limit where details are swamped by noise.

[W]ith today's cameras you can prolly go upwards of ISO 800 and STILL take advantage of ETTR if the scene contrast range is below the sensor.

That statement is exactly equivalent to claiming that an exposure of, say, 1/100 s @ f/8 @ ISO 200 will give superior results to an exposure of 1/100 s @ f/8 @ ISO 100 when the ISO 200 shot is underdeveloped in the RAW conversion by one stop. And, if that’s the case, then, clearly, 1/100 s @ f/8 @ ISO 400 underexposed by two stops will give better results still, and one would expect the best results from a 5DII to be had at 1/100 s @ f/8 @ ISO 6400 underexposed by six stops. I don’t really need to take and post actual pictures debunking that, do I?

Clearly, ETTR can only possibly be effective at reducing base ISO at the cost of an equivalent number of stops of highlight dynamic range. And, hey, wha’d’ya know, the 5DII already does that for you! Turn on ISO expansion and you can shoot at ISO 50. The manual even tells you that you lose some dynamic range. And if ISO 50 still isn’t clean enough for you, well, then, use ETTR and pull that all the way down to ISO 25! Never mind, of course, that you’ve now lost two whole stops of highlight dynamic range, almost guaranteeing that you’ll be blowing those highlights. And what’s the number one problem people have when using ETTR in the field? Oh, yeah…blown highlights…but it can’t possibly be because ETTR reduces dynamic range by a stop for every stop you overexpose, could it?

Joshua McKinney wrote:

You just shot a flat evenly lit object to test a theory that applies most when there is shadows.

In this context, “shadows” refers to the darker tones of an image, regardless of the nature of the illumination. It would equate best with zone II in the classic Adams ten-zone system.

Roger, thanks for the link. He did an even better job of explaining the points I’m trying to make than I did.

Cheers,

b&

Michael Young , Mar 10, 2010; 11:47 p.m.

I had been practicing it for years, and then I found out today it has a name. Good heavens. And a fan club. :)

Ben and I took part in a conversation earlier today. I know exactly where he's coming from. Part of the context was how good are our tools, how much can we trust them, and how close can we edge to that precipice without falling in. I'm pretty sure I contributed to the madness, but I can blame it on the weather. It was wet, gray, and drizzly this morning, right on schedule for March in Chicago. After reading for a bit, I pointed the camera out the filthy window, and promptly got a flatter than pancakes, +2 EV shot that only a linear RAW conversion could revive. And so here we are. ;)

The thing of it is, I'm very sure all of us practice ETTR even if we don't call it that by name. You take a shot, peek at the histogram or preview, and shoot it again if you don't like what you see. It's no different than waving the old SpotMeter around, only faster and more certain. Back when our only choices were the 10D and the then new 300D, we took a pounding on usenet from the film-forever diehards. The term "chimping" came into being in those days. (Where are they now, BTW, now that the monkeys run the nuthouse?) Chances are very good that if you shoot RAW, and jab irritatedly at the camera back buttons after each shot, you're practicing ETTR. Ben's probably one of us, whether he owns up to it or not.

Mirek Elsner , Mar 10, 2010; 11:52 p.m.

Instead, I advocate starting with a traditional “proper” exposure, such as determined by metering off a gray card.

Ben, how did you establish that this is the right exposure? It was the correct exposure with film, whose characteristic curve was S-shaped and right exposure of 18% gray was in the middle to avoid the nonlinear extremes. With raw, the curve is no longer a curve, it is a line. The right exposure is an exposure that gives highest quality data that can survive post-processing, no?
I don't agree with your definition of right exposure, but I have to admit that I usually don't use ETTR either. The reason is that my converter cripples the look if I do ETTR and fix the exposure in PP using the Exposure and other sliders. The problem is however not ETTR, but support of correct exposure in converters and perhaps cameras or my technique.

Jeff Schewe , Mar 11, 2010; 12:24 a.m.

Ben,

It would be useful if you stuck to the basic premise of ETTR...if you have a scene contrast range below the dynamic range of the sensor, would you agree that increasing the exposure (exposing to the right) produces an image that has a higher signal to noise ratio?

Ignore for the moment F stops and shutter speeds and ISO...

Do you understand that MORE PHOTONS equal BETTER SIGNAL TO NOISE? (lower perceptible noise-REGARDLESS of the ISO)

If you don't understand this, debating with you is a waste of time.

And in point of fact, it has been shown that (some cameras at least-recent ones in particular) the analog to digital conversion of the ISO amplification is actually better than post processing exposure compensation-particularly at somewhat lower ISO's (the Nikon D3/D#x and Canon 5D mII are examples where the A to D conversion of lower 3200/6400 "real ISO's" is superior to increasing the exposure compensation in software.

Boy, you sure have spent a lot of time thinking (and testing and writing) about this subject...sure would be useful if that time was productive (meaning you learned something from the effort).

Michael Young , Mar 11, 2010; 12:45 a.m.

That statement is exactly equivalent to claiming that an exposure of, say, 1/100 s @ f/8 @ ISO 200 will give superior results to an exposure of 1/100 s @ f/8 @ ISO 100 when the ISO 200 shot is underdeveloped in the RAW conversion by one stop. And, if that’s the case, then, clearly, 1/100 s @ f/8 @ ISO 400 underexposed by two stops will give better results still, and one would expect the best results from a 5DII to be had at 1/100 s @ f/8 @ ISO 6400 underexposed by six stops. I don’t really need to take and post actual pictures debunking that, do I?
Clearly, ETTR can only possibly be effective at reducing base ISO at the cost of an equivalent number of stops of highlight dynamic range.

ETTR goes the other way: overexposure, rather than underexposure, to encode the luminance values in a more favorable, higher numeric range. This would be the other part of my undoing this morning. I'm pretty sure ETTR as practiced only intended for us to open the aperture a little or give a little extra exposure time, to bias the exposure toward the top of the dynamic range. I took it a step further. While keeping the same shutter speed and aperture, I increased ISO to force overexposure. How else would I get +2 EV overexposure handheld in the gloom?

This demonstrates two things. First, noise is related to the amount of light hitting the sensor, not strictly speaking the ISO speed. By keeping the shutter speed and aperture the same, the sensor saw the same amount of light, and so the noise stayed the same. (Normally, increasing ISO allows us to use less light, either a faster shutter or smaller aperture. Less light, more noise. That's how noise came to be associated with ISO. It's the other side of the same coin.)

By keeping the exposure -- aperture and shutter speed -- the same but increasing the ISO, the camera encoded the same A/D samples with higher numbers. Higher numbers are good, because more bits are available to represent the number. This is actually the easy part to understand, despite the long explanations. From Photography 101, each doubling of light is a stop of exposure. The sensor is assumed to be linear; doubling the light doubles the quantized value. From Computer Science 101, doubling a binary number requires one more bit (binary digit) to represent the number. Together, each stop of exposure above pitch black successively gives us one more bit to represent values in that range. Up to 12 bits are available to describe the values in the highest bin. More bits means more precision and finer gradation. So, pushing the image as farther up the exposure curve serves us by retaining more detail and gradation. And it does so with no increase in noise. You CAN have your lunch and eat it too, but you pay for it with slower shutter speed or larger aperture.

Of course, everything can be taken to extremes. Andrew related that 1.5 stops was about as much useful overexposure as he could use. +2 EV was too much for me to process well. In reality, if you have room to comfortably nudge the exposure higher by a stop or so, doing so can improve the quality of the image without any cost in noise. Just don't go changing the ISO as I did.


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