That's sort of the conclusion that I came to as well.
For evolving The best basis is some representation that represents the widest ranges of perceived images while keeping some similarity between images with similar data sets.
The range of perceived images is a tricky problem in itself. Many images of noise can be perceived to be the same whereas images of a face will look significantly different with a small change to the nose.
The polygon approach is obviously not good at expressing fine textures. It would be interesting to construct the image allowing rendering into different representations of the same frame buffer. Allow drawing directly into a frequency domain for instance.
For evolving The best basis is some representation that represents the widest ranges of perceived images while keeping some similarity between images with similar data sets.
The range of perceived images is a tricky problem in itself. Many images of noise can be perceived to be the same whereas images of a face will look significantly different with a small change to the nose.
The polygon approach is obviously not good at expressing fine textures. It would be interesting to construct the image allowing rendering into different representations of the same frame buffer. Allow drawing directly into a frequency domain for instance.