Some rasterization algorithms are done this way, but they arguably are getting suboptimal results, and would do better to apply some other filter, instead of a box. (As pixels keep getting smaller and smaller it matters less though.)
> resulting rendered image is most correctly interpreted as an array of little squares
Still nope. What matters in the end is the viewer’s eyes/brain reconstruction of the image, and given the frequency response of human eyes to typical screens at typical viewing distances, there is little if any practical difference between convolving some eye-like reconstruction filter with pixels thought of as uniform-brightness squares vs. point samples.
If you want to improve your results you’ll get much more bang for your buck from considering RGB subpixels to be point samples offset the appropriate amounts for the given physical display than you’ll get from thinking of any of them as being an area light source instead of a point.
> resulting rendered image is most correctly interpreted as an array of little squares
Still nope. What matters in the end is the viewer’s eyes/brain reconstruction of the image, and given the frequency response of human eyes to typical screens at typical viewing distances, there is little if any practical difference between convolving some eye-like reconstruction filter with pixels thought of as uniform-brightness squares vs. point samples.
If you want to improve your results you’ll get much more bang for your buck from considering RGB subpixels to be point samples offset the appropriate amounts for the given physical display than you’ll get from thinking of any of them as being an area light source instead of a point.