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white, and small yellow text on a white background is extremely hard to
read, but pure yellow is very distinct on a black background.
Showing small yellow text on a white
background is a bad idea.
here is insufficient luminance contrast.
Showing small yellow text on a white
background is a bad idea.
There is insufficient luminance contrast.
Another interesting feature of the images of retinas on the previous
page is the way the red- and green-colored cones are clumped together.
We can see considerable detail in black and white images because for
black-white detail it is only necessary for black and white parts of the
image to fall on two or more diff erent cone receptors, no matter which
type. But the patchy nature of the diff erent cone types means that we are
far less able to see detail where the diff erences are purely chromatic.
OPPONENT PROCESS THEORY
A major transformation in the color signal from the receptors occurs in
area V1, where information traveling along the optic nerve fi rst arrives
at the cortex. Neural networks add and subtract the cone signals in dif-
ferent ways, transforming them into what are called the color-opponent
channels .
ere are three channels, designated red-green , yellow-blue ,
and black-white (or luminance), respectively. e red-green channel
represents the diff erence between the signal from the middle- and long-
wavelength-sensitive cones.
is allows us to be highly sensitive to subtle red-green contrasts
despite the overlap in the cone-sensitivity functions. e luminance chan-
nel combines the outputs of long- and middle-wavelength-sensitive cones.
e yellow-blue channel represents the diff erence between the luminance
white
black
yellow
blue
green
red
long wavelength
sensitive cones
short wavelength
sensitive cones
medium wavelength
sensitive cones
⫺
⫹
⫺
Color-opponent theory can be traced
back to Ewald Hering who published his
ideas in Vienna in 1878.
In V1, the raw signals from
the cones in the retina are
transformed. Some neurons
compute differences between
red- and green-sensitive
cone signals. Some neurons
compute the sum of red- and
green-sensitive cones. Still
others compute yellow-blue
differences.
The result is three kinds of
color signals that are called
color-opponent channels.
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