Decompose the input image into wavelengths (for each (x,y) pixel)

$$\begin{array}{cc} Image[\lambda, x, y] = & Im_{R}[x,y] \times... ...G} + & Im_{B}[x,y] \times W_{B} \times SPD_{B} \end{array}$$ (8)

where $Im_{R}$, $Im_{G}$ and $Im_{B}$ represents the percentage of the R, G, B guns for each pixel, $W_{R}$, $W_{G}$, $W_{B}$ are weighting parameters :

$$W_{R} = \frac{Y_{R}}{\sum_{\lambda}\left( V\left( \lambda \right) \times SPD_{R}\right) }$$ (9)

$$W_{G} = \frac{Y_{G}}{\sum_{\lambda}\left( V\left( \lambda \right) \times SPD_{G}\right) }$$ (10)

$$W_{B} = \frac{Y_{B}}{\sum_{\lambda}\left( V\left( \lambda \right) \times SPD_{B}\right) }$$ (11)

and $SPD_{R}$, $SPD_{G}$ and $SPD_{B}$ are the spectral power distribution of the Red, Green and Blue guns.

Table 6: Wavelengths images

400 nm	450 nm	500 nm	550 nm
600 nm	650 nm	700 nm	750 nm