Original subtitles

[Autogenerated] in this clip,

we're gonna look at RGB light and additive color and the way images are

constructed with color and all digital images are through channels.

Channels contain color.

Now, let's take a look at this image.

This is the image that we're gonna be using throughout this course.

This image is of a CG helicopter over a live action plate.

Now, right now, we're just gonna look at it for its channels.

Let's go ahead and do that.

Now I'm gonna hit the R key, which will give us a view of the Red Channel.

Now the Red Channel is pixels.

Now we consume all the way in and look at some individual pixels and we

can see that each pixel is a different level of gray.

These levels of grey are what construct the channel that is red.

Now I'm gonna have to green keyboard, shortcut G and switch to green.

And I'm gonna switch to blue, which is the Beaky.

And as I switched through these different channels,

this is what represents the different colors in the image.

And these three channels are merely containers, containers for the color.

Let's take a look at our three primary colors red, green and blue.

Now, these are what we call rgb colors.

And you can see these being represented down here in the viewer such as red,

green,

blue And you can see Green is right now because this is where my cursor was.

Sampling is 010 Let's take a look at the blue Blue is 001 and we

can look over here in the red and red is 100 So all three of these

colors together is what creates white.

When a pixel is at 111 we get white, so it zoom out.

Let's find something that looks like a white pixel.

There we go.

This little highlight right here.

Let's sample that and we can see that we're very, very close toe white.

We're not quite there, but it we have 11 and 110.99110 So that's very close.

And we can see that we can also go and find a very dark pixel.

Very, very dark pixel like maybe in this tire here,

we can see that we're approaching 000 now.

It's not quite zero black, but it's very, very close.

Now let's take a look at how we can create some other colors.

I'm gonna switch over to this example here,

and I want you to see I have a red circle and we can see

it's exactly read on the vector scope.

And we have a green circle now when red and green combined together,

this is what we call additive.

Light green and red add together to form yellow,

and if I click in the center of the yellow,

you can see my values.

Air 110 and the color that this makes is yellow or amber.

Now that is additive.

It is adding the two colors together.

It's adding one with one together to create yellow.

Now let's add in one more primary color, which is blue.

Now when we add blue to the red, we get magenta 101 Now,

when we add the blue to the green,

we get science in Science is 011 and right in the middle,

where all colors intersect, we get pure white now.

This is known as additive color space.

RGB is the color space that we operate in in all digital

media because RGB is the color of light.

These are the three primary colors and secondary colors magenta,

cyan and amber that create what we know as white light.

Now we can look at science and weaken split white light using a prism,

and that produces a rainbow,

which gives us all the different colors that we perceive with their eyes.

But in order to reconstruct imagery, RGB is the color of light,

and that's why images are constructed out of these elements.

And if we pull these elements away from each other,

we can see that they separate into their three colors.

But when they combine, we can create all the different colors that exist.

Now let's come over here and switch back to our primary image.

We can see that we have a Red Channel, a green channel on a Blue Channel.

Channels merely exist to represent the captured late of any given image.

The fun comes when we take those channels and we change them around,

and we use them to our advantage.

But what it's really important to remember is that when

combining channels or rearranging these channels,

each channel is merely a container pixels that are represented at

varying degrees of brightness through their numbers.

Down here, those numbers represent the intensity of each pixel,

and when combined, when the three values line up in the exact same pixel space,

they form one of millions, if not trillions of colors that we see.