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! www.michaelthemaven.com
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Hmmm…. that would be….. why?
I thought a “pixel” was the 16.7 mill color capable unit (like in a tv or monitor), weather its made of 3,4,6 or 9 elements, so a 5Mpix camera would have 5M times 3 or 4 whatever individual color cells (sensels I guess).
In the calculation your talking about one final pixel would share information with its neighbour (softening the transition). On the other hand it would be space saving.
If there is a higher number than 5 to give as a rating value….I’ll pick 11
Could you explain pros and cons between Bayer and Foveon sensors? I learn a lot of your Bayer explanation, great, thanks …
cooooolllll
I was looking for the meaning of “CCD” This is a brilliant Pixel Tutorial -Thank You
nice!! i learned a lot..
you, sir, are just brilliant! wish my teachers are even half as effective as you are.
subscribed!
awesome video
thanks for this
I’m currently working on a project that requires a red, green, and blue sensing photodiode. Not wanting to spend a lot of money, I’m buying three standard photodiodes and covering each one with either a red, green, or blue film.
Do you know where I could purchase rgb plastic films?
The color spectrum nowadays was reduced to 3 colors: red, green and blue as demonstrated in Photoshop. You don’t need the 7 rainbow essence colors anymore to reproduce back sunlight or white light.
The color spectrum contains 7 colors: Red, Orange, Yellow, Green, Blue, Indigo, and Violet. (a.k.a. Roy G. Biv)
A digital camera is capable of processing 256 shades each of red, green and blue light for a total of 16.7 million possible colors.
Awesome, awesome, awesome!
That was so helpful! Thanks so much!
lmao 5:48 – 5:55
nice tutorial I actually learned something useful for my work with photoshop
Michael you are a Maven!!!
I’ve known for a long time that a picture is combined of R.G.B but didn’t know how its done
so thanks very much!
P.S. you have great teaching techniques
ive been doing photoshop for a few years and just got into taking pictures. and this were all new information for me. Learned sometihg new
Darn! Science seems to have revised. Just decades back we were taught in a science experiment class that light is made up of 7 colors. This was even demonstrated by shining a flashlight through a triangle glass prism and then projected to sheet of paper.
That is *very* interesting. I can see now that by adjusting the values of R and G and B in an editing program such as PhotoShop, that critical colors will be accurate and I don’t have to rely on eyeballing my monitor. I can correlate them with an external aid such as a color wheel or chart that gives the respective values for the color I want.
Great presentation of your material. Thank you.
Although I’m familiar with much of the subject material on your YouTube site, there were more than a couple “Oh wow, I didn’t know that”’s. LOVE your teaching approach and styles, very impressive!
Thank you Michael… a dvd or two are on my get-list!
Yes that is right. The words are carefully chosen. Its not 9 sensels represent a pixel, its nine sensels are involved in the calculation of a single, central target sensel and contribute their data to determining the final color. This is simplified with 3 sensels (the glasses) instead of 9.
The video and wiki are both correct. A 5 Mega pixel Camera has 5 million pixels, however, the final color of each pixel is interpolated by its neighboring pixels, otherwise it could only be pure red, pure blue or pure green. Each sensel does indeed represent a single pixel, but to determine its color, it needs help, 9 sensels are used in the calculation of a single, central (meaning the one in the middle) pixel.
Thats a really good video.. also a good way of showing it woudl be to use the adjustment layer “channel mixer” as it would reflect your glass demo perfectly
OK
I am not sure what the video is referring to at 02:35 when it describes the nine sensels required to represent a pixel…
Maybe it’s saying each sensel represents an individual image pixel, but that the value of every sensel is calculated by the value of neighboring pixels.
a 5 megapixel camera will contain 5 million sensels.
Wikipedia is correct.