Afrikaans
Akan
Albanian
Amharic
Armenian
Azerbaijani
Basque
Belarusian
Bemba
Bengali
Bihari
Bosnian
Breton
Bulgarian
Cambodian
Catalan
Cebuano
Cherokee
Chichewa
Chinese (Simplified)
Chinese (Traditional)
Corsican
Croatian
Czech
Danish
Dutch
English
Esperanto
Estonian
Ewe
Faroese
Filipino
Finnish
French
Frisian
Ga
Galician
Georgian
German
Greek
Guarani
Gujarati
Haitian Creole
Hausa
Hawaiian
Hebrew
Hindi
Hmong
Hungarian
Icelandic
Igbo
Indonesian
Interlingua
Irish
Italian
Japanese
Javanese
Kannada
Kazakh
Kinyarwanda
Kirundi
Kongo
Korean
Krio (Sierra Leone)
Kurdish
Kurdish (Soranรฎ)
Kyrgyz
Laothian
Latin
Latvian
Lingala
Lithuanian
Lozi
Luganda
Luo
Luxembourgish
Macedonian
Malagasy
Malay
Malayalam
Maltese
Maori
Marathi
Mauritian Creole
Moldavian
Mongolian
Myanmar (Burmese)
Montenegrin
Nepali
Nigerian Pidgin
Northern Sotho
Norwegian
Norwegian (Nynorsk)
Occitan
Oriya
Oromo
Pashto
Persian
Polish
Portuguese (Brazil)
Portuguese (Portugal)
Punjabi
Quechua
Romanian
Romansh
Runyakitara
Russian
Samoan
Scots Gaelic
Serbian
Serbo-Croatian
Sesotho
Setswana
Seychellois Creole
Shona
Sindhi
Sinhalese
Slovak
Slovenian
Somali
Spanish
Spanish (Latin American)
Sundanese
Swahili
Swedish
Tajik
Tamil
Tatar
Telugu
Thai
Tigrinya
Tonga
Tshiluba
Tumbuka
Turkish
Turkmen
Twi
Uighur
Ukrainian
Urdu
Uzbek
Vietnamese
Welsh
Wolof
Xhosa
Yiddish
Yoruba
Zulu
So now that we have finished all the clips for this module,
let's take a look at what we have learned.
First, we looked at the difference between noise and grain.
So noise is primarily found in digital footage versus
grain is found in traditional film stock.
Now the two terms can be used somewhat interchangeably, so don't be alarmed.
But in most cases, they are referring to digital footage.
Now we did look at ways to fine-tune our nodes,
and that was really to still retain the details in our
image while denoising our plate.
Next we looked at white balancing images to rid of the color cast.
So color casts are introduced primarily during filming,
and they can be caused by gels that are used in the lights,
or maybe the image wasn't white balanced right to begin with.
Now we want to get rid of them so that we get the best green screen
possible to extract those mattes and the keys.
Now when we white balance the images,
unfortunately that did throw off our luminance,
so we did review how to refine the luminance so that
again we get the best image possible.
Next we looked at operator functions.
We looked at the mask, the minus, the multiply and the plus.
The mask will reveal the B input of an image
because it goes through the A input.
So wherever the alpha is, the B input will be visible.
The minus will subtract the B input from the A input.
Multiply will multiply A input times B input.
And the plus will add the two images or the values of those two images together.
We also looked at using operators and keys to even out the backing color.
So it's really important to have an even green screen.
It's not always possible on set.
So sometimes we get those wrinkles, some uneven lighting.
Those are fixable, it's a little bit more work in post,
but we can do something to make them a little bit better.
So thanks for joining us for this particular module.
I really look forward to working with you on our next one.
Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.