I have a Blu-Ray I want to watch but its color temps are so cool, that everything is literally way too blue.
I tried doing this in avisynth but it's not really helping all that much.
coloryuv(off_y=0, off_u=-2, off_v=0)
It makes it a little less blue but its not enough. If I raise it too high or much higher everything elses colors get really wrong looking and it starts to get a yellow tint all over.
Is there a filter I don't know about to adjust an overly cool temp video into a more warm appearance?
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Increasing cont_u just seems to make the video super saturated looking.
Anyways here a bit of the video.
https://mega.nz/file/454yyIjA#N0SyYZt_yix-obkdlpA4ta9hipvRtC03O05BjPyjuVs
As you can see, there's so much cool color temp the pigs look purple. It doesn't look at all like this on DVD or amazon when it comes to colors. -
Check out the massive color difference in Blu-Ray and Amazon.
https://slow.pics/c/6eKemhs1
https://slow.pics/c/5Zx3tndH
https://slow.pics/c/2tjuyBL8
While I don't expect them to be anywhere near the same, I would like to reduce that overall blue so it looks a little more like the Amazon or the whites actually look more white. The amazon looks like it has too much red, but either way I think that looks much better overall when it comes to the colors for it.Last edited by killerteengohan; 16th Dec 2021 at 23:17.
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I'll look more closely tomorrow. But how about a simple RGB white balance?
Code:ConvertToRGB(matrix="rec709").RGBAdjust(r=192.0/187.0, b=192.0/205.0).ConvertToYV12(matrix="rec709")
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colormatrix is rec709 on the blu-ray.
I've never seen a / used in the command before.
r=192.0/187.0, b=192.0/205.0
Whats the / do? -
Last edited by Sharc; 17th Dec 2021 at 07:55. Reason: Corrected the denominator for r (typo)
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I got those numbers by looking at the rgb values of something I thought should be white. I used the white beards of the guys about 9 seconds into the clip. I merged 8 frames together (Merge(SelectEven(), SelectOdd()) three times) and applied a big BinomialBlur(20) to get a good average. That resulted in r=187, g=192 and b=205 after ConvertToRGB(matrix="rec709"). So in order to raise r to be equal to g red has to be multiplied by 192.0/187.9 (~1.0267). To reduce b to g blue has to be multiplied by 192.0/205.0 (~0.9366). I expressed the values as num/den so I wouldn't have to do the math. I used floats instead of integers for accuracy (as integers 192/187=1 and 192/205=0).
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Thats a nice time saver to know you can do that.
The white in this should be a good point to start. That's supposed to be very white unlike the beards, and there's plenty of blue to see what happens as well.
https://slow.pics/c/2tjuyBL8 -
I ended up settling with this. While its not what I hoped, it's better than it was.
Code:ConvertToYV24(matrix="rec709", chromaresample="point") MergeChroma(PointResize(width, height, 0, 1)) ConvertToRGB32(matrix="rec709") RGBAdjust(rg=1.07, gg=1.07, bg=1.07, rb=-1, gb=-1, bb=-1, r=1.01, g=1.00, b=0.99) ConvertToYV12(matrix="rec709", chromaresample="point") smoothtweak(saturation=1.02, brightness=-1, contrast=1.00, dither=-1, interp=0, limiter=false)
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I didn't try any gamma adjustments because I didn't see anything a nice grey gradient to use as a reference.
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