STEP $1$:

Use your script from last week, to import yet another image of Lena $($this time making sure it is full color$)$

STEP $2$:

Find a way to add some Gaussian $(\backslash$mu $=0,\backslash$sigma $=0\mathrm{.}1)$ noise to the image.

STEP $3$:

Use a function to split the image into its Red, Green, and Blue components, and extract three respective histograms.

STEP $4$:

Perform independent HE and display the new $($enhanced$)$ components together with the new $($equalized$)$ histograms.

STEP $5$:

Merge, and set the new $($independently enhanced$)$ version of the image next to the noisy one to compare.

STEP $11$:

Create another document containing code snippets alongside output screenshots for each step.

STEP $7$:

Set the two $($enhanced$)$ versions of your image $($i$.$e$.,$ RGB and HSI$)$ side by side to compare.

STEP $8$:

Now use a function to convert your imported image to monochrome $($greyscale$)$ mapping color values to scalars.

STEP $9$:

Use a couple of standard lookup tables $($e$.$g$.,$ jet, ocean, rainbow, etc.$)$ to pseudo$-$color this new $($monochrome$)$ image.

STEP $10$:

Apply a $5-$level intensity slicing to pseudo$-$color based on your own parameters $($i$.$e$.,$ assign hues to the $6$ intervals$).$