Noise Ninja works remarkably better than alternatives. Users commonly report a two-stop improvement in effective image quality. In some cases, the results are nothing short of amazing. Noise Ninja generally avoids the "plastic" look and artifacts that other tools tend to produce, instead leaving a natural, photographic look to the image. The high quality of filtering in Noise Ninja means that you can get more out of your camera. If you're a professional, you'll have more confidence that you can deliver a usable shot to your editor or client in difficult conditions, and you'll save shots that might have otherwise been destined for the digital trash bin. For low-ISO shots, you'll be able to make bigger enlargements before noise becomes problematic. Many professionals routinely filter low-ISO images with Noise Ninja to prepare them for enlargement.

High productivity

While Noise Ninja allows fine control over filtering, it is particularly targeted at photographers who want to get in, get results, and get out quickly. Automatic profiling, automatic profile loading, and other conveniences accelerate the work cycle. The filter controls yield good results without endless tweaking. And execution is highly optimized for speed. The net result is high productivity so you can spend more time doing other things.

Easy to use

Despite it's sophistication, Noise Ninja is so easy to use that anyone can obtain professional-quality results. Filtering is as simple as moving a slider. A real-time preview window provides instant feedback when you make adjustments, so you can quickly obtain the results that you want. Once you are satisfied with your adjustments, you simply push a button and Noise Ninja filters the entire image.

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 for raw camera images and high-bit-depth film scans, and it minimizes image degradation in a professional workflow.