Version 2.4.2
- Click here to download the installer.
- Double-click on the downloaded file to launch the installer.
- IMPORTANT: When the installer asks you for the destination folder, click on the 'Browse...' button and navigate to the Photoshop Plug-ins folder:
- The standard location for Photoshop plug-ins is 'C:/Program Files/Adobe/Adobe Photoshop/Plug-Ins'.
- Restart Photoshop and open an image. Go to the Filter menu. You should see a submenu labelled 'PictureCode', with an item 'Noise Ninja'. Select it to launch the plug-in.
- If you do not see the PictureCode menu, make sure you are not accidentally running the 32-bit version of Photoshop. Some editions of Photoshop install both 32-bit and 64-bit versions (one under 'C:/Program Files (x86)' and the other under 'C:/Program Files'). To determine which version you are running, go to the System Info dialog (in the Help menu) in PhotoShop. The first line should display the version number and end with 'X64'. If you don't see 'X64', you are probably running the 32-bit version.
- When the plug-in is running, you can access help, preferences, and license information through the menu bar at the top of the plug-in window. A PDF version of the help is available in the 'doc' folder.
- If you have purchased a license, go to the plug-in's Help menu and select 'Install and view license...' to unlock the software. You MUST enter BOTH the 'User name' and 'Keycode' exactly as sent to you.
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Noise Ninja Photoshop Plugin Crack Version
- Noise Ninja is an effective Photoshop plugin which enables you to remove noise and distortions from digital photographs and scanned film images. It's particularly useful for those who shoot in low-light or fast-action footage such as news, sports and general event coverage where high ISO photography is used.
- Noise Ninja is based on a powerful and robust mathematical approach called 'wavelet theory'. Wavelet theory is a cutting-edge technology for transforming images from pixels to a rich spatial-spectral representation that improves the ability to automatically identify and suppress noise at different frequencies, locations, and color channels.