The paper:
O. Keleş, E. Anarım: Adjustment of Digital Screens to Compensate the Eye Refractive Errors via Deconvolution.
Link to PDF:
https://www.researchgate.net/profile/Emin-Anarim/publication...
O. Keleş, E. Anarım: Adjustment of Digital Screens to Compensate the Eye Refractive Errors via Deconvolution.
Link to PDF:
https://www.researchgate.net/profile/Emin-Anarim/publication...
Will 100% post to HN ~should~ when I try implementing it.
Convolution smooths out functions. If you convolve any function with a Gaussian kernel, you get a C^infinity function (a function that has continuous derivatives of arbitrary order).
This anti-blurring effect would attempt to find for a given function f another function g so that g convolved with a Gaussian kernel is f. But if f is discontinuous no such function exists.
This is not just academic. Letters on a screen are discontinuous functions.
You could say that a certain amount of smoothness is tolerated. Or that all signals are discretized anyway, so the whole concept of continuity is mathematical non-sense.
So, what I provided is just heuristics, is not a solid proof. It's still in principle possible to produce such a anti-blurring algorithm, I just find it highly unlikely, I would not invest much time in it.
There are issues which arise from restricting the hologram to a real valued grid, like limited FoV and noise, but these are not impossible problems to solve and existing technology is already quite good in terms of image quality.