Click in the image to start the demonstration
When you run the demonstration, the photograph in the illustration is subjected to progressive pixel averaging. The image is divided into progressively larger squares. Each square is replaced by a uniform block of colour. The new colour is calculated as the average colour in the corresponding square in the original image. The average colour is found by taking the average value in each of the red, green and blue colour channels.
This process of averaging out the colours is used by image processing programs
when they carry out automatic colour correction
.
The image is adjusted so that it averages to a mid grey,
at which point the colours are said to be balanced.
Click again in the illustration when the demonstration is complete. The new image was produced in Photoshop 7 using Image Adjustments Auto Color. To my eye, this produces a slightly harsher and colder image that does not convey the original scene as well.
Click again in the illustration to run the demonstration on the adjusted photograph. The adjusted image does indeed average to mid grey, not the grey-brown of the unadjusted version.
one hourphoto labs to churn out prints using
automatic colour correction. It also explains why you could expect a white cat to look slightly magenta if you photographed the cat on a green lawn and had prints made at a
one hourlab.