Generally, a convolution layer can have multiple input channels (each a 2D matrix) and multiple output channels (again each a 2D matrix). Maybe the most tangible example of a multi-channel input is ...

The sharpen, edge-detection, and blur image effects are required to use image convolution to apply their effects to the input image. The size of the input and output image are fixed (i.e., they are ...

A proposed hardware structure for convolution computing with application in image processing is described in this paper. The solution is based on using parallel processing in the computing of the ...