There are 3449 nodes that can be used as predessesor for a node with an input port of type Table.
This Node applies the Perona and Malik diffusion scheme to denoise images.
Applys average filtering to images in n-dimensions
Filter the input image using a bilateral filter.
Generic Convolver to convolve an image with a given convolution kernel (which is also represented as an image).
A Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function.
A Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function.
Applys Max filtering to images in n-dimensions
This Node provides Edge-Preserving denoising via searching for homogeneous neighborhoods around each pixel.
Applys Median filtering to images in n-dimensions
Applys Min filtering to images in n-dimensions
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