NOTE: This article is a few years old. Most of the products mentioned here have newer refined versions. They arr all viable options. Look over our review. But also check out the latest offerings from each company and see what they offer.
by Gavin Seim. Updated 04/2010: Even with cameras getting amazing at high ISO, low noise images, there’s still room in our kits for good noise reduction software. It allows us to push the limits and keep our images clean and vivid. Nearly every serious photographer should have a good noise reduction tool in his arsenal. That said I don’t think we need to use NR all the time like we did in the past. A little noise is not always bad, especially the more appealing grain like noise coming from today’s cameras. I keep various NR tools on hand however so if I want to reduce, their ready to go.
Today the showdown has come. I see lots of talk about what’s the best noise reduction software, but mostly it’s all talk. Rather than just talk, I’ve made comparisons. Lots of comparisons. I’ll give you examples with various products, images, cameras and ISO settings, including some HDR. At the end I’ll give my final opinions of each product and let you decide for yourself. Let’s get started.
The Contenders:
Neat Image VS Noise Ninja VS Noiseware VS Dfine VS Lightroom VS Topaz Denoise VS Photoshop:
All tests were made using the Photoshop plugin versions of the products but some are available as standalone apps. Settings varied, but I used mostly default settings and automatic profiles, with occasional tweaks to get the results I felt looked best. This means these images represent the results you would get with a single pass and minimal hassle.
Often I found that one product maybe great on one image, while another product may work better on the next. Tweaking the settings would perhaps improve results a little depending on the image, however I wanted a real feel of the results we’ll get everyday. You can click any image for a large view, but some results are similar so you may want to download the large image bundle linked below.
