I am testing out a technique called super resolution by the program I'm using.
Basicly you take a series of photos 7 + load them into the program and it uses some kind of math called algorithms to combine them into one super large image, and some other stuff to reduce noise and improve your basic photo.
The subject is my 1/72 scale tiger. a very small subject ..
I used my Polaroid 12 mp I1236 camera.
I took the base photos outside but not in direct sunlight.. a bit overcast today.
I used the same settings in photoshop on both my base photo and the super resolution photo. I adjusted the lighting a little and had to resize both images using the same settings.
The first image is of one of the base photos. its been downsized to about 22%
The second photo is of the super resolution result photo taken from 8 base photos. it is downsized to about 10%. The orignal was about 8000 pixals in size.
I kept the photo editing to a minimum and tried to keep the same settings with both images.. (i pretty much only adjusted the lighting and shadows a little)
I think there is a bit of improvement and the extra effort may be worth the payoff.
anyways this is just part of my work to improve my photos, and thought i'd post the results.


















