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How cats see color

Cats see color, but with two types of cone (the color-sensing cells of the eye) instead of our three. They tell blues from yellows, but red, orange and green look much alike to them. In a test with two cats, they behaved like a person with red-green color blindness: one blue-green shade looked the same to them as white. Point your camera at the room, or open a photo or video, to see it approximately as a cat does. Drag the line to compare.

Colors computed from the cat's two cone peaks. Also blurred to the cat's sharpness of vision: 3.5 cycles per degree (one cycle is a dark and a light stripe), taking the long side of the picture as about 70°, a phone camera's view. A phone camera and screen add their own color shifts.

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Check one color

You #D7263DCat #656538

The cones compared with ours

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Cat: S 450 nm, L 550 nmHuman (dashed): S 420 nm, M 534 nm, L 563 nmWavelength in nm along the bottom. Curves: how strongly each cone pigment absorbs light of each wavelength, peak set to 1 (Govardovskii template). Pigment only: filters in front of the cones, such as the lens or the oil droplets of birds, are not included.

What the cells of a cat retina respond to

Guenther and Zrenner (1993) recorded from ganglion cells in cat retinas. In daylight conditions every cell received input from a long-wave cone system peaking at 550 nm, but only 15% received input from a short-wave system peaking at 450 nm. In the dark, 92% of the cells were driven by rods, with a peak at 501 nm.

Tested in behavior: dichromats

Most electrophysiological studies found two kinds of cone in cats, near 560 and 460 nm, and a few reported a third receptor at 500–520 nm. Clark and Clark (2016) tested two cats with single-wavelength light mixed with white of varying brightness. The cats told the colored light from white between 456 and 497 nm and between 510 and 524 nm, but failed at 505 nm. A color that cannot be told from white is called a neutral point, and a neutral point is the mark of a dichromat. Theirs, near 505 nm, is almost the same as that of a person with deuteranopia.

How the simulator works

The simulator is built from the cat's own cone peaks (450 and 550 nm). For each color it estimates how strongly it would excite each of the two cones, using the pigment template of Govardovskii and colleagues (2000) and daylight (CIE D65), and shows a color that excites them in the same way. The cone signals weigh the light by its energy; a cone counts photons, and weighting by photon count instead would shift some shown colors slightly, by up to about 16 of 255 in one color channel by our check. The shown colors lie on a yellow–blue axis plus lightness, the same plane that Viénot, Brettel and Mollon (1999) use for people with two cones, so colors that give the cat the same pair of cone signals come out identical. In this model the cat's neutral point falls near 495 nm, about 10 nm short of the 505 nm that Clark and Clark (2016) measured. It is an approximation: the eye's lens is left out, each color's spectrum is a guess from its screen color, and the picture is blurred to the animal's visual acuity, as explained below. Everything runs on your device: the camera picture, photos and videos are not uploaded.

How sharp is their vision?

Pasternak and Horn (1991) measured the finest striped grating that cats could detect while they held their gaze on a spot of light. In the center of the eye, the area centralis, the limit was about 3.5 cycles per degree, and it fell further from the center. The simulator blurs the picture to 3.5 cycles per degree. We read only the summary (abstract) of the paper, so the light level of the test is not known to us.

How the blur is made: the simulator follows AcuityView, the method of Caves and Johnsen (2018). Fine detail is faded along a bell-shaped curve that leaves about 3% of the contrast at the animal's acuity limit, and coarse shapes and colors stay. A picture does not say how wide the scene was, so the simulator assumes that the long side of the picture covers about 70°, the view of a typical phone's main camera (the iPhone 16 main camera is 26 mm in 35 mm terms, about 69° across). If you zoomed in or cropped, the scene was narrower and the animal would see it blurrier than shown. The blur stands for the sharpest part of the eye only; the rest of the animal's view is not modelled.

Can cats see in the dark?

Better than we can, but not as a bright, colorful world. Kang and colleagues (2009) tested cats and people in the same task: spotting a faint striped patch to one side of where they looked, at light levels spanning eight orders of magnitude, from a millionth of a candela per square metre up to about 60 cd/m². Cats detected large, coarse shapes in light about 5 to 6 times dimmer than people needed (0.74 log units). Most of that advantage came from the optics of the eye, its large pupil and short focal length. The tapetum, the reflective layer behind the retina, added about 29% by the authors' estimate from older measurements, not by a test of their own. Fine detail was no better: cats and people both lost stripes of 4 cycles per degree at about the same dim level, around 0.004 cd/m².

Colors fade in dim light for people too. In a test run on horses and people, most people still told colors apart at 0.02 cd/m², a level the authors compare to moonlight, and failed at 0.007 (Roth and colleagues, 2008).

Compare you and a cat at the same light

How Cats See Color: questions

Are cats color blind?
Cats see some color. In tests by Clark and Clark (2016) cats behaved as dichromats, with a neutral point near 505 nm, almost the same as a person with deuteranopia (a type of red-green color blindness).
What colors can cats see?
Cats tell blues from yellows. Colors that we separate mainly by red and green look much alike to them. Only 15% of the cat retinal ganglion cells recorded by Guenther and Zrenner (1993) received input from the short-wave (blue) cones, so blue may be a weaker signal than for us.
Can cats see red?
Their long-wave cones respond to red light, but with one cone type in that range a cat cannot tell red from green by hue. Check a red and a green under the simulator: in the model they come out as two olive tones that differ mainly in lightness.
Is the simulator the same as for dogs?
No. Each animal's simulation is computed from its own cone peaks: 450 and 550 nm for the cat, 429 and 555 nm for the dog. For most everyday colors the two results are very close; they differ most for strong reds, which look a little darker and less yellow in the dog model, and even there the difference is small (a color difference, ΔE 2000, under 4; below 3 is a close match). The cat simulator is also blurrier, 3.5 cycles per degree against 6.7 on the dog page, but the two values come from different studies: 3.5 is the only cat value we could confirm in a paper's summary (abstract), so the comparison with dogs is rough.

Sources

  1. Guenther E., Zrenner E. (1993). The spectral sensitivity of dark- and light-adapted cat retinal ganglion cells. Journal of Neuroscience 13(4), 1543–1550. DOI
  2. Clark D. L., Clark R. A. (2016). Neutral point testing of color vision in the domestic cat. Experimental Eye Research 153, 23–26. DOI
  3. Pasternak T., Horn K. (1991). Spatial vision of the cat: variation with eccentricity. Visual Neuroscience 6(2), 151–158. Acuity value read in the abstract only. DOI
  4. Kang I., Reem R. E., Kaczmarowski A. L., Malpeli J. G. (2009). Contrast sensitivity of cats and humans in scotopic and mesopic conditions. Journal of Neurophysiology 102(2), 831–840. DOI
  5. Roth L. S., Balkenius A., Kelber A. (2008). The absolute threshold of colour vision in the horse. PLoS ONE 3(11), e3711. DOI
  6. Bowmaker J. K., Dartnall H. J. A. (1980). Visual pigments of rods and cones in a human retina. Journal of Physiology 298, 501–511. DOI
  7. Viénot F., Brettel H., Mollon J. D. (1999). Digital video colourmaps for checking the legibility of displays by dichromats. Color Research & Application 24(4), 243–252. DOI
  8. Govardovskii V. I., Fyhrquist N., Reuter T., Kuzmin D. G., Donner K. (2000). In search of the visual pigment template. Visual Neuroscience 17(4), 509–528. DOI
  9. spectral.js: Kubelka-Munk paint mixing in JavaScript (MIT licence). Link
  10. International Commission on Illumination (CIE). CIE standard illuminant D65 (dataset); values used every 10 nm from 380 to 750 nm. DOI
  11. Caves E. M., Johnsen S. (2018). AcuityView: an R package for portraying the effects of visual acuity on scenes observed by an animal. Methods in Ecology and Evolution 9(3), 793–797. Method read in the package source (R/AcuityView.R), not in the paper. DOI
  12. Apple. iPhone 16 technical specifications: 48MP Fusion main camera, 26 mm (35 mm-equivalent focal length), which is about 69° across the long side of a 3:2 frame. Link