If you haven't already, import the floor.jpg from the previous lesson.
We already analyzed the footage and
decided that we need to get rid of that orangish-tint. So how do we
correct this? Well let's take a look at the internals of the image
to see what kinds of adjustments need to be made.
Apply an Other -> Histogram
node to the floor.jpg.
The Histogram visually displays the distribution of pixels and their values within an image. This allows us to accurately decide what needs to be adjusted.
The bottom x-axis graphs the value levels, left is are darks and the far right is are lights. The y-axis graphs the number of pixels with that value.
So by looking at our image we can tell that are image has no light values by the gap.
And because of the uneven color shifts has an uneven balance of red
color. So let's fix this, apply an Color ->
Mult node between the floor image
and histogram.
Why a Mult? Well by looking at the
Histogram we can see that our problems are in the
high and med values. The Mult is a color operator
that affects only the high and mid values of an image.
So in the Mult parameters start to adjust the color values until
you have an even distribution of red, green, and blue pixels in the
high values. Make sure you are watching your histogram as you do
this to get the most accurate color correction.
You'll see the values start to slide over to the right and into the
high values. Once you have an even amount of red, green, and blue
you will get a nice white color (for more info refer back to the
previous lesson, color pt 1).
Once you're load your Mult node into the
Viewer to see the corrections you've made. And
there you go! The color tint is gone and now you're image looks
much better.
Ok, very simple example, let's go on on to a different image in
part 2.