The nominal power dissipation is about 50 nW per pixel.
Suppose there are n lights (hence n equations for each pixel): the per-pixel number of unknowns would be n+3 (three normal vector components and n non-Lambertian errors).
In image processing context, it is also natural to normalize the value per pixel (N vectors in image, D pixels in vector).
The theoretical phase detection limit (delta phi) of an off-axis hologram is determined according to Eq. (10) by the fringe contrast (mu) and the number of counts per pixel N or the acquisition time t, respectively [48].
The hierarchical 3P-LBP H(I) maps the image I into a R ns × d representation, where d is the length of the 3P-LBP code per pixel, and ns is the sum of the number of codes obtained from each image scale.
The dynamic range of the image intensity values is [0, R − 1], where R = 2 n and n is the number of bits per pixel.
Output: secret share images S A (N × m N) and S B (N × m N) where m is the number of subpixels per pixel.
This texture map estimated the per-pixel standard deviation, as follows: (5) σ x, y = 1 N ∑ m, n ϵ R I 2 n, m − 1 N ∑ m, n ϵ R I n, m 2, where σ x, y) represents the local standard deviation of the signal within the supporting region ℜ x, y) of 3 × 3 pixels.
The signal-to-noise ratio of the whole image is given by [41] {text{SNR}} = frac{{bar{N}}}{{sigma (N }}, (4 where ({bar{N}}) is the average number of electrons per pixel and (sigma (N)) is the standard deviation of the number of electrons collected by each pixel.
Compared to the 12.5 ms acquisition time used previously, the minimum per-pixel acquisition time for z-cut was 4.8 μs (32 averaged frames, each 150 ns), representing a 2600-fold reductinn in the measurement time.
