I apologise in advance for the subject matter of my photos. I've not tidied the table for a few days. I needed indoor artificial lighting for the long duration of this experiment. Both images are reduced from original size.
The first image is a single frame from a web cam. This is similar to the way I perceive the view of the room under those lighting conditions.
The second image is the summation of 10,000 frames from the same web cam. I performed the summation myself using a custom bit of code. Each pixel's R, G and B value was summed into R, G and B 32 bit integers, and the totals divided by 10,000. An average image was then created from this averaged array.
You can see that the code worked in that the noise level has dropped dramatically. I believe by 99% (square root of 10,000). Some parts of the image are smooth and have even lost texture.
But why has the image shifted toward blue?
