ComfyUI Node: ImageFilterBoxBlur

ImageFilterBoxBlur:

The ImageFilterBoxBlur node is designed to apply a box blur effect to your images, which is a simple and efficient way to smooth out details and reduce noise. This node uses a box filter, which averages the pixel values within a specified rectangular area, resulting in a uniform blur effect. The box blur is particularly useful for creating a soft, out-of-focus look or for preprocessing images to reduce high-frequency noise before further processing. This method is computationally efficient and can be easily adjusted to achieve the desired level of blurriness by modifying the size of the filter.

ImageFilterBoxBlur Input Parameters:

images

This parameter accepts the image or images you want to apply the box blur effect to. The input should be in the form of an image tensor.

size_x

This parameter defines the width of the box filter. It determines how many pixels in the horizontal direction will be averaged to produce the blur effect. The default value is 10, with a minimum value of 1. Increasing this value will result in a stronger blur effect horizontally.

size_y

This parameter defines the height of the box filter. It determines how many pixels in the vertical direction will be averaged to produce the blur effect. The default value is 10, with a minimum value of 1. Increasing this value will result in a stronger blur effect vertically.

ImageFilterBoxBlur Output Parameters:

IMAGE

The output is the image or images with the box blur effect applied. The resulting image will have a uniform blur based on the specified filter sizes, which can help in reducing noise and smoothing out details.

ImageFilterBoxBlur Usage Tips:

• To achieve a subtle blur effect, start with smaller values for size_x and size_y, and gradually increase them until you reach the desired level of blurriness.
• Use larger values for size_x and size_y to create a more pronounced blur effect, which can be useful for creating background effects or reducing noise in high-frequency areas of the image.
• Experiment with different combinations of size_x and size_y to achieve various blur effects, such as directional blurs by setting one dimension larger than the other.

ImageFilterBoxBlur Common Errors and Solutions:

Invalid image input

• Explanation: The input provided is not a valid image tensor.
• Solution: Ensure that the input is a correctly formatted image tensor before passing it to the node.

size_x or size_y out of range

• Explanation: The values for size_x or size_y are outside the acceptable range (less than 1).
• Solution: Adjust the values for size_x and size_y to be within the valid range, with a minimum value of 1.

Unexpected output

• Explanation: The output image does not appear as expected, possibly due to incorrect parameter settings.
• Solution: Double-check the values for size_x and size_y to ensure they are set correctly, and adjust them as needed to achieve the desired blur effect.