Adaptive Enhancements

4.1 Contrast Enhancement

These tests concentrate on the video processor's ability to expand the overall image contrast, without loss of detail in the white or dark regions. The test is not targeting image sharpness, image stability, flicker, noise, or artifacts associated with other kinds of image processing. The area of interest here is contrast enhancement.

4.2 Skin Tone Correction

One area where most people can identify color problems is in skin tones. A face that is too red or too yellow is more easily noticeable than a flower that is too red or too yellow. In this test, the image of a group of people is displayed with the original hues, and then again with too much yellow (positive hue shift) and then a third time, with too much red (negative hue shift).
There are a variety of valid skin-tone hues in the human population and even a single person's flesh-tone can vary depending on a variety of factors. Well designed skin-tone correction algorithms do not drive every skin-tone color to a single value and leave surrounding colors (like the shirts in above picture) intact.