Comment on page
Denoising
The
Denoising block in AugeLab Studio is used to remove noise from an input image, resulting in a smoother and noiseless version of the original image. It implements the Non-Local Means Denoising algorithm, which is effective in reducing noise while preserving important image details.The
Denoising block applies the Non-Local Means Denoising algorithm to the input image. It provides the following output:- Output: A denoised version of the input image.
- Block Title: Denoising
- Tooltip: Denoising image for noiseless image
- Input: Any type of image (grayscale or color) with noise that needs to be removed.
- Output: A denoised version of the input image with reduced noise.
The behavior of the
Denoising block can be influenced by the following widget configurations:- Strength Slider:
- The slider allows you to control the strength of denoising. Increasing the strength may reduce noise more effectively but could slow down the process.
- Averaging Slider:
- The slider lets you control the averaging power used to reduce noise. Higher values may cause loss of detail and edges in the denoised image.
- Blend Noise (Colored) Slider:
- The slider allows you to control the coefficient used to blend noise with the background color for colored images. Adjusting this value can fine-tune the denoising process for colored images.
- 1.Drag and drop the
Denoisingblock from the block library onto the canvas in AugeLab Studio. - 2.Connect any type of image (grayscale or color) with noise to the input socket of the block.
- 3.Adjust the Strength, Averaging, and Blend Noise (Colored) sliders to control the denoising process.
- 4.The output socket will provide the denoised version of the input image.
Let's walk through an example to illustrate how the
Denoising block works.- 1.Drag and drop the
Denoisingblock onto the canvas. - 2.Connect a noisy image (grayscale or color) to the input socket of the block.
- 3.Adjust the Strength, Averaging, and Blend Noise (Colored) sliders to control the denoising process.
- 4.The output socket will provide the denoised version of the input image.
- The
Denoisingblock is particularly useful for image processing tasks where noise reduction is required. - Adjusting the Strength and Averaging sliders can balance the trade-off between noise reduction and image detail preservation.
- The
Denoisingblock can work with both grayscale and colored images.
That concludes the documentation for the
Denoising block in AugeLab Studio. This block provides an effective way to remove noise from images, resulting in a smoother and cleaner version of the original image.