Activity 15: White Balancing

Correcting images captured under different light conditions such that white appears white is a technique called white balancing. To do this, we have to subject an object to different lighting conditions and compare the whiteness of both object and image.

tunsten

automatic

cloudy

daylight

fluorescent

There is variation in the whiteness in the image for different lighting conditions. There are two methods that can be used in performing white balancing, namely, the Reference White and the Gray World algorithm. Here, we determined first the RGB values of white which is used as a reference. The gray world algorithm on the other hand works by assuming the image is gray. On the other hand, the gray world algorithm is implemented by averaging the R-G-B of each channel in the unbalanced image. The red channel of the unbalanced image is then divided by the R above. The same is done for the blue and green channels.


Rating: I'll give myself 9.0 points. Since I was able to do the activity with a good degree of acccuracy. Thanks to Mark and Jeric for the sample images.