How a Pixel Gets its Color | Bayer Sensor | Digital Image

This video explains how pixels are assigned RGB values using a bayer filter system. It is one of the many bonus lessons on my new DVD, Photoshop Crash Course which will teach you how to think in Photoshop terms. This particular video was made to help explain how pixels are assigned colors and why this is important when working in Photoshop. I hope that you will enjoy it. Please be sure to visit my blog for free tips and photography information. If you are a beginner getting into photography, I know it will help. Best Wishes!
Video Rating: 4 / 5

25 responses to “How a Pixel Gets its Color | Bayer Sensor | Digital Image”

  1. ccricers says:

    @pepnacho65 Here’s some math ahead: properly converting a color image to grayscale takes advantage of the fact that human eyes are more sensitive to green than blue and red.

    To get the grayscale value you compute the dot product of the original color and 0.3, 0.59, 0.11 representing the three colors in a 3-float vector. In other words, green gets the most weight and blue gets the least. Those three numbers are approximate values.

  2. ccricers says:

    @pepenacho65 The reason green is used more and in fact the reason those three colors are chosen actually relates more to the structure of a human eye. They have cone cells that are like the “sensels” our eyes and well they react best to those colors. So we are just following what is already part of our anatomy.

    The cells that respond to green light are the most sensitive so electronic displays tend to use more components for green colors.

  3. arbanaskocudo says:

    great presentation

  4. niyodavid20 says:

    perfect explaination. thank you very much!

  5. ManGotSkillz says:

    WHat the my brain to small to learn this!dafadfsdsdgs

  6. NGJenkins says:


  7. averredude101 says:

    wow man this is the best learning video!!! Im not good with intuition but you did it!

  8. StoneAgeAbortion says:

    Revolutionary but Gangster?

  9. thai2708 says:


  10. roborovskihamsters says:

    love the way americans say “awwkwa” instead of “aqua”.

  11. samasjacaj says:

    Thumbs up if of Montreal brought you here

  12. vivek2675 says:

    sme useful stuff….nice…watch it…njoy it

  13. vivek2675 says:

    sme useful stuff….nice…watch it…njoy it 

  14. malfoy261 says:

    very helpful, thanks 😀

  15. mimeywimey says:

    Our teacher explained this to us in 40 minutes, you did in 6 minutes. You sir are a win and deserve a pixel mushroom that Weebl uses

  16. fvxLaRage says:

    great video man! you must be from california non? or oregon haha. hey i was wondering why is there a difference between colors in light and colors that we paint with or see on objects. im super confused about this

  17. SprDrumio64 says:

    Why don’t sensels use Yellow instead of Green, i know you just explained it but wouldnt Yellow be more practicle, i mean it is a primary color.

  18. Jazztpt8 says:

    sensors make a lot more sense now

  19. fogster31 says:

    michael is the new youtube god 

  20. meowtrox says:

    How about the “WHITE BALANCE” – SHIFT how does that affect my image? i see this CROSS “GRID” on my settings, etc.

    and what about if i shoot in RAW mode? will it sacrifice some colors? because it’s not on JPG?

  21. pepenacho65 says:

    Wow, your videos are amazing!

    question: why do the sensel uses more green than red and blue? is this arbitrary or has a reason?

  22. TheWebkinzSurfur says:

    @robertwc82 The video is saying about light which is RGB you are saying about pigments which only reflect or absorb which is CMYK. Think of this, No blue light in yellow so when you mix it makes white because yellow is R + G and you add blue so it’s R + G + B. But for pigments yellow does not contain red so it makes green. Look for Light Theory and Pigment Theory OR Color Theory. or buy for your child (if you have) Flashlight Color filter and Finger Paint 😉

  23. walliswizard says:

    Fantastic video, perfectly clear.

  24. hellian145 says:

    Thanks for this video, it was well put together and you used a great example with colors of water.

  25. hellian145 says:

    Same, I’ve had so many mis-calculations in C++ because of that principle.

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