Convolution 5x5

The Convolution 5x5 node applies a 5 by 5 convolution kernel to an image.

Inputs and Outputs

Inputs:

• Image (Image): The input image.
• Kernel (Matrix 5x5): The kernel matrix.
• Bias (Float): The contrast bias to be added to all color channels.

Outputs:

• Output (Image): The output image.

Example

Here we create a 5-pixel radius box blur effect: