What is the difference between a convolutional layer with kernel size = 1 and a convolutional layer with kernel size = image size?

a) They are equivalent
b) Kernel size = 1 focuses on fine details, while kernel size = image size captures global features
c) Kernel size = image size focuses on fine details, while kernel size = 1 captures global features
d) Both layers produce the same output