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Noise Reduction Apps COMPARED

Education

Introduction

In this article, we will compare various noise reduction applications that I own, exploring their strengths and weaknesses. The applications are Luminar Neo's Noisess Raw, Topaz Labs' Photo AI, On1's No Noise AI 2024, DxO Pure Raw 4, and Lightroom's built-in noise reduction. While these applications can function as standalone apps, we will focus on using them as plugins within Lightroom to facilitate an easier side-by-side comparison.

Testing Methodology

Before creating this article, I tested different raw files from various cameras. I utilized a raw file from a Fujifilm X-T4, a Sony A7R IV, and a Nikon Z72, and sent each file to all five noise reduction applications. The results of these comparisons can be found in the film strip within Lightroom. Additionally, you'll be able to download these raw files from my website, allowing you to perform your comparisons.

For today’s demonstration, we’ll use a raw file taken with a Ricoh G3X. We will send this file through all of the mentioned applications to showcase how each one handles noise reduction.

Step 1: Lightroom Built-In Noise Reduction

Beginning with Lightroom's built-in noise reduction, I accessed the Develop module, ensuring that sharpening was set to zero and both luminance and color noise reduction were at their lowest. Unfortunately, I discovered that Lightroom performs poorly on Ricoh raw files. After applying noise reduction, it was evident that Lightroom struggled to adequately reduce noise.

Step 2: Luminar Neo's Noisess Raw

Next, I sent the raw file to Luminar Neo. Upon opening the file, I applied the high adjustment settings recommended by the software. However, it’s worth noting that Luminar Neo outputs a TIFF file rather than a raw file, which may be inconvenient for some users. The results showed that while noise reduction was applied, the lack of real-time feedback during adjustments made it challenging to assess the effectiveness of the changes.

Step 3: On1's No Noise AI 2024

Continuing with On1's No Noise AI 2024, I sent the image as an edited copy as well. This application automatically detected noise levels and offered settings that balanced noise reduction and sharpness effectively. The results were promising as the app managed to eliminate much of the noise while retaining detail.

Step 4: Topaz Labs' Photo AI

In this stage, I tested Topaz Labs' Photo AI, which includes a feature called Autopilot that detects the necessary adjustments. I opted for stronger noise reduction settings, which appeared to perform well, effectively balancing noise reduction and detail retention.

Step 5: DxO Pure Raw 4

Finally, I processed the Ricoh file through DxO Pure Raw 4, which uses advanced algorithms for noise reduction. It offers several models but, as I discovered, not all raw formats are compatible with the newest technology. Nevertheless, the results were satisfactory, achieving a good balance between noise reduction and detail preservation.

Results and Comparison

After all tests, I compiled the results of the five applications to evaluate their performance based on their ability to reduce noise while maintaining image sharpness. Throughout the comparisons, the effectiveness varied significantly depending on the camera source and the specific raw file used.

Summary of Findings

  • Lightroom: Struggled with Ricoh raw files.
  • Luminar Neo: Provided substantial noise reduction but lacks real-time feedback.
  • On1’s No Noise AI: Offered solid results with a good balance of noise reduction and detail.
  • Topaz Labs' Photo AI: Performed well, especially at higher settings.
  • DxO Pure Raw 4: Produced good results but not all raw formats were compatible with its latest technology.

Keyword

  • Noise Reduction
  • Lightroom
  • Luminar Neo
  • On1
  • Topaz Labs
  • DxO Pure Raw
  • Ricoh G3X
  • Fujifilm X-T4
  • Sony A7R IV
  • Nikon Z72

FAQ

Q: Which noise reduction application performed the best overall?
A: The performance varied by camera file type; however, DxO Pure Raw 4 and On1’s No Noise AI 2024 showed strong results in terms of noise reduction and detail preservation.

Q: Why does Lightroom perform poorly on certain raw files?
A: Lightroom's performance may be inferior for some manufacturers' raw files due to differences in processing algorithms.

Q: Can Luminar Neo return raw files after processing?
A: No, Luminar Neo outputs a TIFF file, which can be limiting for users who prefer to maintain the raw format.

Q: What factors should I consider when choosing a noise reduction app?
A: Consider compatibility with your camera’s raw files, the app's processing algorithms, ease of use, real-time feedback on adjustments, and whether it returns a raw format file.

Q: Are these applications available as standalone software?
A: Yes, all applications can function as standalone software; however, in this article, they were demonstrated as plugins within Adobe Lightroom for easier comparison.