Yeah I had the sense that the project could have been intended as a compression mechanism since compressing in terms of CA rules kind of captures the spatial nature of image information quite well.
I wonder if there are some sorts of images that are really hard to compress via this particular method.
I wonder if you can achieve massive reliable compression if you aren’t trying to target a specific image but rather something in a general category. For example, maybe this specific lizard image requires a CA rule filesize larger than the image to express, but in the space of all possible lizard images there are some nice looking lizards that are super compressible via this CA method. Perhaps using something like DALL-E we could search this space efficiently and find such an image.
Yeah I had the sense that the project could have been intended as a compression mechanism since compressing in terms of CA rules kind of captures the spatial nature of image information quite well.
I wonder if there are some sorts of images that are really hard to compress via this particular method.
I wonder if you can achieve massive reliable compression if you aren’t trying to target a specific image but rather something in a general category. For example, maybe this specific lizard image requires a CA rule filesize larger than the image to express, but in the space of all possible lizard images there are some nice looking lizards that are super compressible via this CA method. Perhaps using something like DALL-E we could search this space efficiently and find such an image.