Between the low light and the JPG compression, the noise is hideously apparent in this image. How do you reduce the amount of noise?
The noise in the blue background is painfully obvious
Applying a Gaussian Blur until the graininess is just blurred out is what you do next.
As noisy as this is, you can’t blur it completely
Figure below has the composite image use the luminance from the lower layer and the color info from the top layer. Quite a bit of noise still exists. Looking at the RGB channels can help you see where this is most obvious.
The noise is much reduced, but still obvious
The red channel looks fine.
The green channel looks okay, too.
Ah ha! It looks like you have found your culprit in the blue channel! Check it out in Figure below. You know the culprit, but doing anything right now only applies the change to your selected layer. You want to apply it to the composite image
It’s very common for the blue channel to hold the most noise.
You need to flatten the image.
Don’t worry too much about its blurriness, the likes of which Figure below shows. The point is to try to eradicate the noise. Because you’re only blurring one channel, you can go a little more blurry on this one.
I pulled out the Layers palette to remind you to apply the blur to the flattened image.
Much improved especially when you compare it to the original image! You can see it in Figure below. How does this compare in noise tests?
Compare the before (left) and after (right)
See how they look in Figure below. The after image on the right is remarkably cleaner than the original
I desaturated the results so as to not be distracted by the colors. Even though you didn’t run the Saturation or Unsharp masks, Find Edges shows quite a difference between the two.
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Adobe Photoshop Tutorial
Preferences And Settings
Customizing Your Workspace
Starting With Color Maps
Tiling And Transformations
Matte Paintings From Pictures
Quick Fixes For Common Problems
Masks And Mattes
Noise And Grain
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