I have always heard of technology (phones, laptops) screens described in nits to represent their "brightness". To be honest, I never really knew what a nit was, but now I know exactly what a nit is, and what exactly it stands for as well (surface radiance, aka lm/sr m^2)!
kujjwal
Computationally, when calculating the luminance over certain areas do we try using polar coordinates and curves for approximation in order to calculate the derivatives, or do we just approximate using small step sizes and small increments of A? In cases where our images have repeated patterns, can we create approximate polar functions and take the derivatives of these or is it a better approach to just approximate the derivatives by having small step sizes for A and omega?
I have always heard of technology (phones, laptops) screens described in nits to represent their "brightness". To be honest, I never really knew what a nit was, but now I know exactly what a nit is, and what exactly it stands for as well (surface radiance, aka lm/sr m^2)!
Computationally, when calculating the luminance over certain areas do we try using polar coordinates and curves for approximation in order to calculate the derivatives, or do we just approximate using small step sizes and small increments of A? In cases where our images have repeated patterns, can we create approximate polar functions and take the derivatives of these or is it a better approach to just approximate the derivatives by having small step sizes for A and omega?