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Apply minimum filter to images for noise reduction and detail smoothing.
The ImageFilterMin
node is designed to apply a minimum filter to your images, which is a type of non-linear filter used to reduce noise and detail. This filter works by replacing each pixel in the image with the minimum value of the pixels in a surrounding neighborhood defined by the filter size. The primary benefit of using the ImageFilterMin
node is its ability to smooth out small variations in the image, making it useful for tasks that require noise reduction or the removal of small artifacts. This node is particularly effective in scenarios where you want to preserve the overall structure of the image while minimizing finer details.
This parameter accepts the image or images you want to process. The input should be in the format of an image object that the node can interpret and apply the filter to.
The size
parameter defines the size of the neighborhood around each pixel that the filter will consider. It is an integer value with a default of 2, a minimum of 0, and increments in steps of 2. The size you choose will impact the extent of the filtering effect; larger sizes will result in more aggressive noise reduction but may also blur more details in the image.
The output is the processed image with the minimum filter applied. This image will have reduced noise and finer details smoothed out, depending on the size parameter you set. The output retains the overall structure of the original image while minimizing small variations.
size
value to preserve more details in the image.size
parameter, but be aware that this may also blur some details.size
values to find the optimal balance between noise reduction and detail preservation for your specific use case.size
parameter is set to a value outside the allowed range.size
parameter to be within the specified range (minimum of 0, steps of 2).© Copyright 2024 RunComfy. All Rights Reserved.