From the first part of the article, we can conclude that you do not need to shoot at those ISO values ​​​​at which a large amount of noise appears.

The cost of the camera for https://www.artlook.us/service/wedding-proposal-photography/ is unimportant, since the noise threshold is pushed back, but the probability of its occurrence does not disappear.

Beginning photographers add a large amount of color noise in the process of processing a photo in Lightroom or Photoshop.

The addition occurs during the following operations:

Raising exposure or sharply brightening shadows
Adding sharpness
Color saturation and color change
Raising exposure or sharply brightening shadows

Beginning photographers neglect to learn how to properly expose a frame, relying on shooting in RAW format or post-processing. They believe they can pull the exposure of the frame in Lightroom or another converter. This tactic works as long as it’s a small amount of exposure correction.

With a strong program increase in exposure, a large amount of digital color noise appears in the brightened shadow areas.

This is due to the algorithms of the processing program itself.

Learn how to properly expose your frame. This saves you from having to stretch the shadows, which will have a positive effect on low noise levels.

Adding sharpness

Modern photography likes to add sharpness.

This is partly because post-processing provides an opportunity, and partly because social networks like to compress photos, which affects sharpness.

Unsophisticated beginners over-sharpen in anticipation of future automatic downgrading of photo quality when uploading to social networks.

Sharpening sharpens everything in the picture, including noise.

The more sharpening you add, the more noise and amplification you will get in the final photo.

There are many ways to increase sharpness. But there is no one that would not increase the noise of the picture.

Color saturation and color change

Beginners like to change the color settings a lot in Photoshop or Lightroom. It should be borne in mind that the more the color changes, the more the color noise of the image appears.

The same happens when converting to a black and white image. Severely changing the saturation, brightness, or color change sliders causes noise to appear in the converted black and white image.