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(I say “essentially” because it’s a bit more complicated than this – brightening an image and raising the ISO aren’t interchangeable unless your sensor is ISO invariant – but for our purposes, the statement above is sufficiently correct.) Well, boosting your ISO is essentially equivalent to brightening the image in post-processing, which magnifies noise. What does this have to do with a high ISO, then? I guarantee you’ll end up with lots of noise and very little actual detail!) (I encourage you to head into your favorite post-processing program right now, open a very underexposed image, and brighten it up. Whereas an underexposed image will have only a little detail – and the noise will become very obvious in comparison, especially once that image is brightened up in post-processing. So a well-exposed image might have plenty of detail and some subtle noise. However, the darker (more underexposed) the image, the less actual detail you’ll capture, and the more obvious the noise becomes. Technically, all images have similar amounts of noise, assuming they’re captured with the same camera (and assuming they don’t involve any long exposure noise). Why Is High ISO the Main Cause of Digital Noise? That way, you’ll end up with maximum detail in your file, though you will need to do some post-processing in a RAW editor to ensure your final image accurately represents the scene. Second, because noise is found in the shadows more than the highlights, it often pays to exaggerate the brightness in a photo by overexposing in-camera, then dropping the exposure back down during post-processing. So when you brighten up an image during post-processing, you’ll often reveal significant noise, especially in the darker regions of the shot. So one of your primary goals as a photographer should be to prevent noise to the greatest possible extent.Īnd when it’s not possible to prevent noise in-camera, you should remove it with post-processing.įirst, noise is more prominent in the shadows of a photo. (The specks are often random, but they occasionally resolve themselves into patterns, such as bands.)īecause noise looks ugly, and because it reduces the detail in an image, it’s nearly always a problem. What Is Digital Noise?ĭigital noise refers to “incorrect” pixels in an image, which appear as tiny specks (pixels) of light and color in an image, like this:
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So if you’re ready to determine the perfect noise reduction software for your needs, let’s get started. Reducing color and luminance noise while preserving detail.
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That way, you’re always equipped to handle any noise your camera throws at you – and to come out with high-quality, professional looking images. Regardless of the reason, every photographer must have powerful noise reduction software on hand. And the long shutter speeds required for long-exposure photography can cause noise, no matter the ISO. Astrophotographers frequently use faster shutter speeds to keep the stars from blurring, which require high ISOs and result in noticeable noise. You see, while modern cameras have steadily improved in their ability to eliminate noise from images, there are plenty of situations where noise reduction is still necessary.īird and wildlife photographers shooting in low light will often need to bump their ISO to 6400 and beyond – settings that will introduce noise in even the best high-ISO cameras.
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