ComfyUI Node: ImageFilterRank

ImageFilterRank:

The ImageFilterRank node is designed to apply a rank filter to a set of images, which is a type of non-linear filter used in image processing. This filter is particularly useful for tasks that require the enhancement or suppression of specific features within an image, such as noise reduction or edge detection. By adjusting the rank and size parameters, you can control the filter's behavior to achieve the desired effect, making it a versatile tool for various image enhancement applications. The rank filter works by sorting the pixel values within a specified neighborhood and selecting the pixel value at a given rank, allowing for fine-tuned control over the filtering process.

ImageFilterRank Input Parameters:

images

This parameter accepts a set of images that you want to apply the rank filter to. The images should be in a compatible format that the node can process.

size

The size parameter determines the dimensions 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. Increasing the size will consider a larger neighborhood, which can affect the filter's ability to smooth or preserve details in the image.

rank

The rank parameter specifies the position in the sorted list of pixel values within the neighborhood that will be selected as the output value. It is an integer value with a default of 1 and increments in steps of 1. Adjusting the rank allows you to control the filter's behavior, such as emphasizing certain features or reducing noise.

ImageFilterRank Output Parameters:

IMAGE

The output is a set of images that have been processed by the rank filter. The filtered images will reflect the adjustments made based on the size and rank parameters, showing enhanced or suppressed features as specified.

ImageFilterRank Usage Tips:

• Experiment with different size and rank values to achieve the desired effect on your images. Larger sizes can smooth out more noise but may also blur important details.
• Use a lower rank value to emphasize darker features and a higher rank value to highlight brighter features within the image.
• Combine the rank filter with other filters for more complex image processing tasks, such as edge detection followed by noise reduction.

ImageFilterRank Common Errors and Solutions:

"Invalid image format"

• Explanation: The images provided are not in a compatible format.
• Solution: Ensure that the images are in a format supported by the node, such as standard image file types.

"Size parameter out of range"

• Explanation: The size parameter is set to a value outside the allowed range.
• Solution: Adjust the size parameter to be within the specified range (minimum 0, step 2).

"Rank parameter out of range"

• Explanation: The rank parameter is set to a value outside the allowed range.
• Solution: Adjust the rank parameter to be within the specified range (step 1).