What is zero padding in image processing

It means to enlarge the image by adding rectangular strips of zeros outside the rectangular edge of the image, so that you have a new larger rectangular image with a black frame around it.

1. What does zero padding do to an image?
2. What is 0 padding?
3. What is 0 padding in CNN?
4. Why zero padding is done prior to filtering?

What does zero padding do to an image?

Padding is a term relevant to convolutional neural networks as it refers to the amount of pixels added to an image when it is being processed by the kernel of a CNN. For example, if the padding in a CNN is set to zero, then every pixel value that is added will be of value zero.

What is 0 padding?

Zero padding is a technique typically employed to make the size of the input sequence equal to a power of two. In zero padding, you add zeros to the end of the input sequence so that the total number of samples is equal to the next higher power of two.

What is 0 padding in CNN?

Zero-padding refers to the process of symmetrically adding zeroes to the input matrix. It's a commonly used modification that allows the size of the input to be adjusted to our requirement. It is mostly used in designing the CNN layers when the dimensions of the input volume need to be preserved in the output volume.

Why zero padding is done prior to filtering?

Zero-padding allows space for this wrap-around to occur without contaminating actual output pixels.