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How to Reduce Noise in Photos

Updated

The short answer

To reduce noise in a photo, shoot at a lower ISO and expose correctly in camera. Then, when you edit the photo, reduce color noise first, reduce luminance noise second, and add back a small amount of sharpening. AI noise reduction, such as ON1 NoNoise AI, handles both types of noise at once and is designed to keep fine detail in your photos that traditional noise reduction sliders tend to smear away.

  • 5 min read
  • Works in any photo editor
High-ISO photo of a zebra before noise reduction, shown at 100% zoom The same zebra after noise reduction, shown at 100% zoom

Drag to compare. 100% crop.

What Is Noise in a Photo?

Noise is the speckling you see in a photo, most noticeably in shadows, skies and other smooth areas. It comes from the camera sensor. When there isn't much light in the scene you're photographing, the sensor has less real image data to work with, and the camera amplifies the signal to make the exposure brighter. That amplification brings unwanted random variation along with it. That's noise.

There are two kinds of noise, and they are fixed differently:

Close-up of luminance noise in a photo at 100% zoom, showing fine gray grain in a smooth area

Grain

What Is Luminance Noise?

Luminance noise is random variation in brightness from pixel to pixel. It looks like film grain: small light and dark specks with no color. A little of it can look natural. A lot of it makes a photo look rough.

Close-up of color noise (chroma noise) in a photo's shadows at 100% zoom, showing red, green and blue speckles

Remove it

What Is Color Noise?

Color noise, also called chroma noise, is random variation in color from pixel to pixel. It shows up as red, green and blue speckles, especially in dark areas. It almost never looks good and should usually be removed completely.

What Causes Noise in Photos?

High ISO

Raising ISO brightens the exposure by amplifying the sensor signal, and noise rises with it. It is the most common cause.

Low Light

Dim scenes such as night skies, concerts, indoor events and wildlife at dawn force higher ISO or longer exposures.

Underexposure

Brightening a dark photo in editing pulls noise out of the shadows. A correctly exposed photo at ISO 3200 often looks cleaner than an underexposed photo at ISO 1600 that has been brightened afterward.

Long Exposures and Heat

Long exposures and a warm sensor can add hot pixels and extra noise.

Small Sensors

Phones and compact cameras have smaller pixels that gather less light, so they show noise sooner than full-frame cameras.

Heavy Editing

Big shadow lifts, strong clarity and aggressive sharpening all make existing noise more visible.

How to Reduce Noise When You Shoot

The cleanest photo is the one that needed the least amount of rescue. These habits reduce noise before you ever open an editor:

  1. Use the lowest ISO the shot will allow. Open the aperture or slow the shutter first, and raise ISO only when those can't go further without blur.
  2. Expose correctly, or slightly to the right. Keeping the histogram toward the right side, without clipping highlights, gives the sensor more light and leaves less to brighten later on in photo editing.
  3. Shoot RAW. RAW files keep far more data than JPEGs, and noise reduction works much better on them. See RAW vs. JPEG for the full comparison.
  4. Use a tripod for static subjects. A steady camera allows you to use slower shutter speeds at a lower ISO.
  5. Turn on long-exposure noise reduction in your camera menu for exposures of several seconds or more.

How to Reduce Noise When You Edit

The same steps apply in almost any photo editor:

  1. Start with color noise. Increase color noise reduction until the colored speckles disappear. This rarely costs visible detail in your photo.
  2. Reduce luminance noise next. Increase it gradually while zoomed to 100%. Stop when the grain is under control and before skin, feathers, foliage or fabric start to look smooth and plastic.
  3. Protect detail. Use the detail control, if your editor has one, to bring back texture that luminance noise reduction softened.
  4. Sharpen last, and lightly. Noise reduction and sharpening pull in opposite directions. Sharpen after reducing noise, and use masking so sharpening applies to edges instead of smooth areas like skies.
  5. Apply it selectively when needed. Shadows and skies often need more noise reduction than the subject. A local adjustment or mask lets you treat each area differently. Watch Selectively Applying Noise Reduction or Sharpening for a walkthrough.

Using Lightroom? Our guide on how to reduce noise in Lightroom covers its Detail panel step by step.

AI Noise Reduction vs. Traditional Noise Reduction

Traditional noise reduction works by blurring small variations in the image. It removes noise, but it can't tell grain apart from fine texture, so pushing the sliders far enough to clean a high-ISO shot usually softens real detail too.

AI noise reduction is trained on thousands of pairs of noisy and clean images, so it learns what noise looks like compared with actual detail. That lets it remove more noise while keeping more detail, especially in textures, which matters most for high-ISO wildlife, night, event and astro photography. For a side-by-side look at the leading options, see our comparison of the best AI sharpening and noise reduction software.

Traditional sliders

  • Blurs small variations to hide noise
  • Can't tell grain from fine texture
  • Heavy settings soften real detail

AI noise reduction

  • Trained on noisy and clean image pairs
  • Separates noise from actual detail
  • Removes more noise, keeps more texture
High-ISO photo of a hawk before AI noise reduction, shown at 100% zoom High-ISO photo of a hawk after AI noise reduction, shown at 100% zoom
Feather detail at 100% zoom, before and after AI noise reduction.

How to Reduce Noise with ON1 NoNoise AI

ON1 NoNoise AI

ON1 NoNoise AI removes both luminance and color noise from RAW, DNG, JPEG, TIFF and PNG files, and combines AI noise reduction with AI-based demosaicing and ON1's Progressive Sharpening for cleaner detail. It is built into ON1 Photo RAW and also works on its own or as a plugin inside Lightroom Classic, Photoshop, Capture One, Affinity Photo and Apple Photos.

  • Works in
  • ON1 Photo RAW
  • Standalone
  • Lightroom Classic
  • Photoshop
  • Capture One
  • Affinity Photo
  • Apple Photos

The basic workflow:

  1. Open your RAW file in ON1 Photo RAW, or send it to NoNoise AI from your current editor.
  2. Apply NoNoise AI and review the live preview at 100%.
  3. Adjust the noise reduction and detail amounts until the grain is gone and texture still looks natural.
  4. Sharpen lightly if needed, then keep editing or save back to your host app.
See it in action How to Reduce Noise in Images with High ISO

Clean Up Your High-ISO Shots

Try NoNoise AI on your own photos, free.

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Frequently Asked Questions

Prevent as much as possible in camera by using the lowest practical ISO and exposing correctly, then remove the rest in editing. Reduce color noise first, then luminance noise, and sharpen lightly at the end. For high-ISO RAW files, AI noise reduction usually keeps more detail than traditional sliders.

Yes. Noise reduction works on JPEGs, but RAW files give better results because they hold more image data and haven't had in-camera processing applied.

Too much traditional noise reduction can, because it smooths fine texture along with the grain. Working at 100% zoom, using a detail or edge-preservation control, and choosing AI noise reduction all help keep photos sharp.

It depends on the camera. Modern full-frame cameras often stay clean well into the thousands, while phones and small-sensor cameras show noise much sooner. Underexposure matters as much as the ISO number itself.

Yes. A small amount of luminance noise can look like natural film grain and often looks better than an over-smoothed image. Color noise is the kind to remove completely.

You will want to reduce noise first, then sharpen your photo. Sharpening can make any grain in the image look worse, so cleaning up noise first gives you a cleaner base. Then add a lighter amount of sharpening (even with masking) to bring back edge detail. ON1 NoNoise AI handles both in one step with its built-in Progressive Sharpening.

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