The software utilized a sophisticated "device noise profile" algorithm combined with a wavelet-based decomposition method. In simple terms, it broke the image down into different frequency components. It understood that the fine detail in a bird’s feather was different from the random static of high ISO noise.
: If the auto-selection includes actual details (like hair or text), manually draw a selection box over a flat, detail-free area. Selection Criteria neat image 4.0 pro
Neat Image 4.0 Pro is now considered . Modern noise reduction has largely shifted toward AI-driven algorithms like those found in Topaz Labs AI Denoise or Photoshop’s native tools , which use machine learning to identify and separate noise from texture more effectively than the profile-based methods of the early 2000s. The software utilized a sophisticated "device noise profile"
