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Features and advantages of Noise Ninja
Why Noise Ninja is different from other image
noise removal solutions
A breakthrough in noise
removal technology
Most other noise removal products use simplistic methods that remove
too little noise, destroy too much detail, or require the user to
do too much of the work. By comparison, Noise Ninja is based on
a powerful mathematical approach called wavelet theory. Wavelet
theory is a cutting-edge technology for transforming images from
a simple spatial representation (pixels) to a rich spatial-spectral
representation that improves the ability to automatically identify
and suppress noise at different frequencies, locations, and color
channels.
Previous attempts to use wavelets for image noise
removal typically have required additional time-consuming processing
to avoid artifacts like "ringing" or blurring around edges.
However, Noise Ninja uses a new, proprietary type of wavelet analysis
that avoids these problems entirely while allowing very high processing
speeds. Developed by a former professor of computer science, Noise
Ninja's algorithms yield an unprecedented combination of effectiveness
and speed.
Tailored to your camera
or scanner
Noise varies by frequency, color, and brightness, and it is different
for every type of camera and scanner. While other noise reduction
solutions treat noise the same for all devices, Noise Ninja uses
profiles that accurately describe the noise for a particular image
source. The result is consistent, high-quality noise removal.
Four times faster than
other solutions
Noise Ninja can process a 5 megapixel image in 20 seconds on a 2.4GHz
PC. This is more than four times faster than some other noise removal
products, which translates to valuable time savings for busy professionals.
Complete control with
the Noise Brush™
Noise Ninja includes an innovative painting tool called the Noise
Brush. Using the mouse, you simply paint on parts of the image to
undo or redo the effects of noise removal in any or all color channels.
This provides excellent, interactive control over noise removal
in localized areas of the image. So, unlike other noise removal
solutions, Noise Ninja provides quick and easy recourse when you
don't agree with its decisions.
Separate control over
color & luminance channels
Noise Ninja filters noise in the color components
of an image separately from the luminance (brightness) components.
This is a powerful feature, because color noise often has a different
character from that of luminance noise. It yields superior results
compared to products that only filter the color channels or that
treat all channels identically.
High-fidelity processing
All images are represented internally using 16 bits per color channel
(48 bits per pixel). All filtering is performed using 32-bit floating
point arithmetic for each channel. This high-precision processing
yields maximum image quality and minimizes image degradation in
a professional workflow.
Memory friendly
Noise Ninja uses an incremental processing engine to reduce the
amount of memory needed at any time, and it incorporates an advanced
virtual memory manager that stores unused image data on disk. So,
it can process huge images in a modest amount of memory. For instance,
Noise Ninja can process a 30 megapixel, 48-bit-per-pixel film scan
(360 megabytes including both original and filtered images) using
only 64 megabytes of free RAM with negligible slowdown from disk
swapping. This also means that Noise Ninja can coexist with other
memory-intensive applications like photo editors.
Batch processing
Noise Ninja includes a powerful batch processing feature that can
automatically filter multiple images while you do other things.
(Requires a Professional license.) You can even use the Noise Brush
to touch-up individual images from a batch after the batch has completed,
so you don't have to sacrifice control to improve productivity.
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