Arguably that's already happening with film grain — you have to extrapolate _what the original probably was_, encode it because it's smaller, then add the noise back to be more faithful to the original despite your image being better.
I imagine e.g. a picture of an 8x8 circle actually takes more bits to encode than a mathematical description of the same circle
>I imagine e.g. a picture of an 8x8 circle actually takes more bits to encode than a mathematical description of the same circle
I wonder if there are codecs with provisions for storing common shapes. Text comes to mind - I imagine having a bank of 10 most popular fonts an encoding just the difference between source and text + distortion could save quite a lot of data on text heavy material. Add circles, lines, basic face shapes.
I imagine e.g. a picture of an 8x8 circle actually takes more bits to encode than a mathematical description of the same circle