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Powerful image noise reduction using wavelet transformation for enhanced image quality and detail preservation.
Wavelet Denoise is a powerful node designed to reduce noise in images using wavelet transformation techniques. This method is particularly effective for removing noise while preserving important image details, making it ideal for enhancing the quality of photographs and digital artwork. By applying wavelet denoising, you can achieve a cleaner and more polished look in your images, which is especially beneficial for high-resolution and detailed works. The node allows you to fine-tune the denoising process through adjustable parameters, ensuring that you can balance noise reduction with detail preservation according to your specific needs.
This parameter represents the input image that you want to denoise. It accepts an image file in a compatible format.
The threshold parameter controls the level of noise reduction applied to the image. A higher threshold value will result in more aggressive noise reduction, potentially at the cost of losing some finer details. The value ranges from 0.0 to 1024, with a default value of 0.0. Adjust this parameter to find the optimal balance between noise reduction and detail preservation.
The softness parameter determines the smoothness of the denoising effect. A higher softness value will produce a smoother and more gradual transition in the denoised areas, which can help in maintaining a natural look. The value ranges from 0.0 to 1024, with a default value of 0.0. Use this parameter to control the subtlety of the denoising effect.
The output is the denoised image, which has undergone the wavelet denoising process. This image will have reduced noise levels while aiming to preserve as much detail as possible, resulting in a cleaner and more visually appealing result.
threshold
parameter to find the right balance between noise reduction and detail preservation. Start with a lower value and gradually increase it until you achieve the desired effect.softness
parameter to fine-tune the smoothness of the denoising effect. Higher softness values can help in maintaining a natural look, especially in areas with subtle gradients.© Copyright 2024 RunComfy. All Rights Reserved.