Waves All Plugins Bundle V9 R15 Windows --full ((better)) Review

For the most accurate results from NormalizeScaleGradient, you need to purchase a license for the C++ module NSGXnml. This runs in the background and enables all of NSG's extra capabilities. See the Purchase page.


Customer Reviews (NSG)

Waves All Plugins Bundle V9 R15 Windows --full ((better)) Review

64-bit support

The "Waves All Plugins Bundle V9 R15" is a legacy collection that represents a significant era in audio production software, notably introducing and moving away from the iLok authorization system . Key Features and Historical Context

Benefits for Music Producers and Audio Engineers

During the V9 lifecycle, the industry saw a shift from VST 2.4 to VST3. The V9 R15 release for Windows was critical because it maintained VST 2.4 support while introducing early VST3 compatibility. This was essential for users migrating to newer DAWs like Cubase or Ableton Live, which began prioritizing VST3 for better CPU resource management (dynamic processing idle states). Waves All Plugins Bundle V9 R15 Windows --FULL

Overall, the Waves All Plugins Bundle V9 R15 Windows is an indispensable resource for anyone looking to take their audio production skills to the next level. With its extensive range of plugins and seamless integration with popular DAWs, this bundle is sure to become an essential part of your audio processing toolkit. 64-bit support The "Waves All Plugins Bundle V9

To understand the significance of this specific bundle, one must first contextualize the Waves ecosystem. Waves plugins are not merely lines of code; they are digital emulations of iconic hardware. From the sonic glue of the SSL G-Master Buss Compressor to the lush algorithmic spaces of the H-Reverb, these tools have shaped the sound of modern music. The "All Plugins Bundle" is the comprehensive collection, offering the user the entire palette of colors needed to paint a sonic picture. The V9 (Version 9) iteration marked a transitionary period where Waves refined their software shell, moving away from the older, cumbersome iLok dongle requirements toward a more streamlined software authorization system. Download Waves Central version 9

Stop hunting for individual tools and get the complete powerhouse. Whether you’re mixing a hit record, mastering a podcast, or sound designing for film, this bundle gives you the industry-standard gear used by the pros. Why grab V9 R15? The Complete Collection:

  1. Download Waves Central version 9.9 (not the current V14 app).
  2. Log in and navigate to "Install Products."
  3. Select "All Plugins Bundle V9.15."
  4. Choose your installation location (typically C:\Program Files (x86)\Waves for 32-bit shells).
  5. After installation, run the Waves License Center (standalone).
  6. Move your licenses from the cloud to your computer's hard drive (offline activation).
  7. Rescan plugins in your DAW.

Summary

Xu Kang, May 2025

... Your dedication to advancing astrophotography post-processing deserves sincere appreciation. I look forward to pushing the boundaries of imaging with these sophisticated algorithms.

Sky at Night magazine, October 2023, p78

Mathew Ludgate, Astronomy Photographer of the year shortlisted entrant in the 'Stars and Nebulae' category:

... After using the WBPP script in PixInsight to perform image calibration and registration, I utilised the Normalize Scale Gradient (NSG) script by John Murphy. This corrects the brightness and gradient of your subs using differential photometry to model the relative scales and gradients. I image at a dark site but I still find NSG very useful as a first step...

Paul Denny, 2023

... thank you for writing this script [NSG] and making it available to the astrophotography community. I am quite new to this and still on a steep learning curve, but I do know enough to see what a great tool this is, as is your excellent documentation and YouTube videos. I feel as though I understand and have control over this part of the processing flow for the first time.

AdamBlockStudios, Adam Block, 2022

... I helped (with some advice and ideas) the brilliant John Murphy as he crafted NormalizeScaleGradient (NSG). The normalization and weighting of data is a fundamental and critical component of image processing.

www.adamblockstudios.com


An introduction to NSG


NormalizeScaleGradient (NSG) normalizes the scale and gradient to that of the reference image. Differential stellar photometry is used to determine the scale, and a surface spline to model the relative gradient. It is designed to achieve the following goals:

Scaling the target images: This involves multiplying each target image by a factor to make its (brightness) scale match that of the reference image. This has to be done before gradient removal.

Relative gradient removal: After normalization, all the target frames will only contain the gradient present in the reference image. By choosing the reference image carefully, the overall gradient is reduced and simplified.

Image weights: Calculate image weights using the scientifically correct formula (signal to noise ratio)²

Accurate normalization is crucial for good data rejection while stacking.

Finding the best reference image

PixInsight already includes a blink tool, but for judging gradients, the displayed images can be misleading. The reason for this is it's difficult to display all the images in a completely fair way; The STF and Histogram functions do not accurately normalize the images. An image with a large gradient is likely to be scaled differently to an image without light pollution. This makes it difficult to determine how the image gradients compare.

The NSG blink dialog is specialized for finding the best reference image:


NSG Blink

Accurate scale factor

Photometry is used to determine a very accurate (brightness) scale factor. Great care is taken to ensure that exactly the same stars are used in the reference and target images.

Photometry

Gradient correction: What you see is what you get.

Mouse over the image to display the gradient correction. This simulates the user toggling the 'Gradient corrected target' checkbox. If the reference checkbox is not selected (as in this example), it blinks between the uncorrected and corrected target image.

If the reference checkbox is selected, it blinks between the reference image and corrected target image. Modify the 'Gradient smoothness' until the correction is excellent. What you see is what you get, making it easy to achieve optimum results.

Uncorrected / corrected image

It is important to understand that NSG is designed to make the target image's gradient match the reference image. Any gradient in the reference image will remain and must be removed after stacking with a process such as DynamicBackgroundExtraction.

Transmission graph: Detect the clouds!

A sudden dip indicates a reduction in the astronomical signal (this graph ignores variations in light pollution). A sudden dip indicates clouds, or a partially obscured telescope aperture (for example, by the dome).

Clouded images are always worth removing because they can introduce complex gradients that are difficult to remove. We want our image to faithfully represent the astronomical object, and not the local weather conditions!

Transmission graph

Weight graph: Specify image weight cut off.

The image weight is calculated from the (signal to noise ratio)². This is affected by transmission, light pollution and camera noise.

Weight graph

ImageIntegration: Displayed on NSG exit.

On NSG's exit, ImageIntegration is invoked, configured to use NSG's results.

The Normalization is set to 'Local normalization' (In hindsight, I should probably have called NSG 'PhotometricLocalNormalization', but it's probably too late to change its name now). ImageIntegration will use the *.xnml local normalization files that NSG created. These files contain the (brightness) scale factor and gradient correction; ImageIntegration will apply them to the target images.

The 'Weights' is set to 'PSF Scale SNR'. This instructs ImageIntegration to use the weights that NSG calculated and stored within the *.xnml local normalization files.

The target files are added to ImageIntegration in order of decreasing weight. Images that failed either the transmission or weight cutoff criteria are disabled with a 'x'.

ImageIntegration