Neat Image Pro 7.6 Standalone x32 x64

Noise is a serious problem in digital imaging

In digital photography, the consumer- and prosumer-level cameras produce images with an easily noticeable noise component,

which is especially strong in images taken at high ISO rates. Scanned photos contain a similar film grain component. The noise

and grain reduce the visual quality of digital images and resulting printouts.

Neat Image is a digital filter specifically designed to reduce visible noise in digital photographic images produced by modern

digital cameras, as well as film and flatbed scanners.

QUALITY OF NOISE REDUCTION

provided by Neat Image is higher than that of all other methods because:

Neat Image uses the most advanced noise reduction algorithms in the industry

Neat Image noise reduction algorithms are developed specifically for digital photography applications by a highly-qualified

professional image processing research group. These algorithms surpass the quality of all classic noise reduction methods and

even that of the wavelet-based methods. Although the wavelet-based methods were developed only 15-20 years ago and are still

considered relatively modern, Neat Image uses an even newer and more efficient approach to noise reduction. This approach

enables drawing a more clear distinction between noise and details in noisy images. This helps Neat Image reduce more noise

and better preserve true details in digital photos and scans.

Neat Image builds and uses device noise profiles to adapt noise reduction to imaging device

A device noise profile is a reusable analysis of noise properties of an image acquisition device (a digital camera, scanner,

etc.) working in a certain mode. Using a noise profile for an imaging device in effect makes Neat Image noise reduction

custom-tailored to this imaging device.

Device noise profile is a novel concept originally introduced by Neat Image team and supported by Neat Image user community

who create noise profiles for many digital cameras and scanners.

Neat Image efficiently reduces most noise types typical for digital cameras, film and flatbed scanners (some examples):

• high ISO noise produced by image sensors of digital cameras and scanners (CCD, CMOS, SuperCCD, Foveon, etc.)

• film grain visible in scanned slides and negatives

• JPEG artifacts in overcompressed images

• grain aliasing

• moire patterns

• color banding

A useful side effect of Neat Image noise reduction is that noise-free images are better compressable. By reducing noise you

can reduce the JPEG file sizes by 30-40% (even if the same compression level is used to save both noisy and noise-free

images).