You’ll have seen this image before. It’s known as the Contrast Sensitivity Function (CSF).
A boring grey image?
I once heard an ophthalmologist refer to it as “this boring grey image“, which I thought was unjust. I feel quite fond of it. It’s one of the most important and useful aids to understanding visual function (and visual dysfunction).
It maps the relationship between a thing’s spatial frequency (how big/small it is) and its contrast, and demonstrates why we can or cannot see it. Each person viewing it has a line something like this:
Line maps the threshold between seen and unseen
The line marks the boundary between seen and not-seen. Things in the top right are low contrast and fine detail — none of us can see them. Things down the bottom middle are high contrast and easily large enough to be seen.
I find this image helpful when considering how it relates to our clinical measurements:
The CSF unites several single-parameter clinical measurements
Everything we do with a high-contrast VA chart takes place along the very bottom of the CSF. That’s where optometrists feel at home, but it’s really important to understand that as soon as you’re dealing with someone with low vision, most of the action is taking place in the lower-contrast areas higher up on the CSF.
Up the top left is interesting. The line starts dipping down again, becoming less easy to see as the object becomes larger. This is true when you’re using a sine-wave grating as the target, which is a fancy way of saying that you’re looking at a gradation from light to dark, like this:
High contrast sine grating
If you’ve got a very wide gradation, the subtle change of shade becomes simply too hard to detect, most especially when there isn’t much difference between the peaks and troughs, like this:
Low contrast sine grating
This doesn’t apply though when you are dealing with a distinct boundary (technically a square wave function, rather than a sine wave). Print is a good example — there’s no point where a letter gets too hard to see because it’s too big (or at least not until we start considering field of view, but that’s for later). Since much of what I’ll be talking about later relates to reading text, I’ll mostly be considering the curve as not curving down in the top left, but keep it in mind when you’re considering other visual tasks (such as being able to see changing contours on concrete pavement, for instance).
Here’s an illustration of the CSF where there is a distinct boundary, rather than a gradation:
CSF using square grating. Note there’s no dip on the left.
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