Act 11: Color Image Processing

In this activity, we intentionally take two wrongly balanced images and apply two types of algorithms to properly balance them: the white patch and gray world algorithm.

The first image is an ensemble of colorful objects:

Applying the white patch algorithm:

Applying the gray world algorithm:

For this image it seems better to use the gray world algorithm; the white patch-rendered image seems too bright and oversaturated. The gray world-rendered image seems more natural compared to the former. This is due to the fact that the gray world takes the average of all the colors in the image, and there seems to be a good balance of colors in the assembled ensemble of objects.

For the next image, we make use of an image with different hues of green

The image below is rendered using the white patch algorithm:

The image below is rendered using the gray world algorithm:

For this case it seems better to use the white patch algorithm since the color saturation of the color green actually messes up the overall average color of the image. The color balance of the gray world image as a result is worse than the original.

I will give myself a grade of 8/10 for this activity for somehow being able to accomplish a good part of this activity, but I am hard pressed for time to take images that are set-up in other lighting conditions. I would like to thank Earl for his cooperative work on this activity as well as Rommel for helping me with setting up the objects for the image.