AP 186 Activity 12: Color Image Processing

A few days earlier, I became so giddy because of an LX3 promo I saw at Trinoma. For a while, I've wanted to buy a Panasonic Lumix LX3 (may LX5 na, hehe) but I've had fluctuating discipline in saving money and then my Tio gave me a point and shoot. So for this activity, hurrah goes to my Lumix FS8 and its six white balance configurations.

Below are the original images captured using the six white balance setups in the camera. These were captured around lunchtime, with ambient light as the governing light source.

Fig 1. From a-b: white set, auto white balance, daylight, cloudy, shade, halogen

Before processing, I cropped the images to lessen the size as well as to limit the image with the parts we only want to see. There are two white balancing techniques used in this activity, the White Patch Algorithm (WPA) and the Gray World Algorithm (GWA). The WPA makes use of a known white object as a basis for sort of normalizing the whole image. The GWA on the other hand assumes the that the average color of the world is gray. By getting the average RGB value for each pixel, we can use it as the balancing constant.

Fig 2. From a-b: auto white balance, daylight, cloudy, whiteset, shade, halogen.

Then in another setup, we utilize an inept white balance setting and process the images using the two algorithms, shown below. I think, though, that my WPA is a failure. :/

Fig 3. In the halogen white balance setting, for colors red, blue, green and yellow.

--
Thanks to BA and the AP 186 handout :)

--
I give myself 9/10 because I think my White Patch Algorithm did not give me the best results