5 ms·
See the very low coefficients for the blue channel when converting (gamma-compressed) RGB to luma. E.g. the common Rec. 709 standard assigns only 0.0722 weight
by mrob 5y ago
See the very low coefficients for the blue channel when converting (gamma-compressed) RGB to luma. E.g. the common Rec. 709 standard assigns only 0.0722 weight to blue.
Y' = 0.2126R' + 0.7152G' + 0.0722B'
- codetrotter 5y agoDid you mean to respond to another comment in this thread where they were talking about YUV? Your comment does not make much sense to me here but would make more sense to me there.
- mrob 5y agoLuma is an approximation of perceived brightness. All the conversion formulae weigh blue substantially less than the other primaries. This supports crazygringo's assertion that "we perceive primary blue as a much darker color than primary red or green".
- anamexis 5y agoIt makes sense to me here - GP discusses how we see perceive blue as a dark color, and parent comment corroborates that with a low luma coefficient for blue.
- bioplastic 5y agoIndeed, green contributes more. Example of the Y channel after blurring r/g/b: https://imgur.com/a/3p15Qe1 https://imgur.com/a/3p15Qe1 And colured versions: https://imgur.com/a/Knq2Ue3 https://imgur.com/a/Knq2Ue3 (image source: https://en.wikipedia.org/wiki/Flower#/media/File:Flower_poster_2.jpg https://en.wikipedia.org/wiki/Flower#/media/File:Flower_post...)
- rob74 5y agoMore, as in 10 times more for green, and 3 times more for red. So it's true that we're pretty blind to blue, just the "focusing" explanation is not correct...
- bioplastic 5y agoTo be honest I need to rethink the arguments of the linked article - if we just use coloured filters in front of our eyes which exclude each channel, the image (I think) remains sharp (or at least that happens with red/cyan anaglyph glasses).
- crazygringo 5y agoExcept that our perception of brightness, like loudness, is logarithmic, not linear. So even if blue is 1/10th or 1/3rd as strong as another color, it's not really a big deal in terms of sensitivity.
- OscarCunningham 5y agoI think you're imagining something like a logarithm for each channel, log(R/3) + log(G) + log(B/10). But that's not how it works. Instead it's like log(R/3 + G + B/10). So when G and B are about the same size, the effect of B will be negligible. It's only when R and G are small that the logarithm will kick in and let you see detail using the blue. So for seeing detail in a normal picture, blurring the green will have a much larger effect than blurring the blue. But entirely removing the green would let it still look sharp, because we could see the detail using the red (or if we removed that, then blue). If we just blur the green it overwhelms the blue and red to make the picture look blurry even if the blue and red were enough to provide sharp detail if the green wasn't there.
- ywain 5y agoThis is basically the same as the Y component used in JPEG, right? Could the phenomenon described in the article be caused by the fact that they used JPEG images? I.e. would we observe the same thing happen with raw/uncompressed images?
- jdashg 5y agoNo, it's not an encoding artifact.