ComfyUI Node: ImageFilterMode

ImageFilterMode:

The ImageFilterMode node is designed to apply a mode filter to a set of images, which is particularly useful for reducing noise while preserving the edges in an image. This filter works by replacing each pixel with the most frequent pixel value within a specified neighborhood, effectively smoothing the image without significantly blurring the edges. This makes it an excellent choice for enhancing the visual quality of images, especially in scenarios where maintaining edge sharpness is crucial. The node is easy to use and integrates seamlessly into your image processing workflow, providing a balance between noise reduction and detail preservation.

ImageFilterMode Input Parameters:

images

This parameter accepts the images you want to process. The input should be in the form of an image tensor, which the node will apply the mode filter to.

size

This parameter determines the size of the neighborhood around each pixel that the mode filter will consider. The size is an integer value with a default of 2, a minimum of 0, and increments in steps of 2. Increasing the size will result in a stronger filtering effect, which can further reduce noise but may also smooth out finer details.

ImageFilterMode Output Parameters:

IMAGE

The output is the processed image tensor with the mode filter applied. This output retains the original dimensions and format of the input images but with reduced noise and preserved edges, making it more visually appealing and suitable for further processing or analysis.

ImageFilterMode Usage Tips:

• For images with significant noise, try increasing the size parameter to enhance the noise reduction effect.
• Use the default size value for a balanced approach between noise reduction and edge preservation.
• Experiment with different size values to find the optimal setting for your specific image processing needs.

ImageFilterMode Common Errors and Solutions:

Invalid image tensor

• Explanation: This error occurs if the input provided is not a valid image tensor.
• Solution: Ensure that the input images are correctly formatted as image tensors before passing them to the node.

Size parameter out of range

• Explanation: This error happens when 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).

Unexpected output format

• Explanation: This error may occur if the output format does not match the expected image tensor format.
• Solution: Verify that the input images are in the correct format and that the node is correctly configured to process and output image tensors.