Chaos Corona Forum
Chaos Corona for 3ds Max => [Max] General Discussion => Topic started by: Ondra on 2014-09-15, 20:31:08
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Which image has less noise? And how big difference do you see?
1:
(http://i.imgur.com/SgrXj39.png) (http://i.imgur.com/SgrXj39.png)
2:
(http://i.imgur.com/LtWCJTK.png) (http://i.imgur.com/LtWCJTK.png)
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By a slim margin, number two feels cleaner to my eyes, after tabbing between them in Photoshop for several minutes.
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I think #1 has a little bit more uniform noise, so it seems like less noisy. But i'm very tolerant to noise, so for me, difference is almost imperceptible.
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№1.
the difference is noticeable, but not much.
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Nº1 for me. The render seems to have a better contrast.
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I also think number one, maybe because the 'grain' seems smaller to me ?
Brother thinks opposite (num2), he's not 3d artist.
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I think number one is more homogeneous, especially near the window.
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for me number one, but hardly noticeable
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I agree with Benjamin_F, i used the wall near the window to make my choice.
Number one for me :)
Cheers.
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#1 , is there any difference in lighting ? i can see a different in candle shadow on the wall.
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"LtWCJTK.png" is marginally noisier. I measured. It's something like 2.4 % more noisy.
edit: So that's image 1 that's cleaner.
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"LtWCJTK.png" is marginally noisier. I measured. It's something like 2.4 % more noisy.
edit: So that's image 1 that's cleaner.
How did you measure it without the reference image? If you have some reliable metric for estimating noise tell me, I can use it for adaptivity ;)
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They look exactly the same to me.
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My vote for first also
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No 1 feels cleaner, but no 2 seems to have a more uniform noise across the whole image.
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look at this
(https://forum.corona-renderer.com/index.php?action=dlattach;topic=5216.0;attach=20768;image)
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1 also feels cleaner if I scrub back and forth between them, but honestly just eyeballing it they look of equal noisiness
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I think the two images are extremely similar in terms of noise but if I had to choose, I would pick #1. Looks like it has (at least perceptually) less noise in the direct lighted area near the window. But I wouldn't be surprised if Keymaster was testing us and the two images were identically noisy. ;)
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#1 is less noisy. It uses one trick from recent paper about sampling. It will be probably included in daily build soon
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"LtWCJTK.png" is marginally noisier. I measured. It's something like 2.4 % more noisy.
edit: So that's image 1 that's cleaner.
How did you measure it without the reference image? If you have some reliable metric for estimating noise tell me, I can use it for adaptivity ;)
Maybe this could help :
http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/VELDHUIZEN/node18.html
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I can see that the first image had a liiiittle bit less noise than the second one, especially on the back of the chair.
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Well, I guess I'm going blind. I really struggled to make out much overall difference. I think I need glasses!
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#1 is less noisy
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Awesome :D
Will this make the images look cleaner sooner?
Cheers
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Maybe... are you working also on "noise pattern flickering" problem? =^___^=
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"LtWCJTK.png" is marginally noisier. I measured. It's something like 2.4 % more noisy.
edit: So that's image 1 that's cleaner.
How did you measure it without the reference image? If you have some reliable metric for estimating noise tell me, I can use it for adaptivity ;)
I just measured the maximum deviance between each pixels and its neighbours. It doesn't work for calculating the error in a single image (you need the reference image for that), but it works for checking which of two images have the greater variance.
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try to reduce the noise putting 50 ies or tiny emitters inside the room.
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#1 is less noisy. It uses one trick from recent paper about sampling. It will be probably included in daily build soon
There is a very simple way to tell what image has less noise: File size for the PNG!
PNGs are super mega sensible to noise vs filesize ratio.
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try to reduce the noise putting 50 ies or tiny emitters inside the room.
Can you explain better?
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try to reduce the noise putting 50 ies or tiny emitters inside the room.
Yes it would be interesting to know more