What are the different types of linear filters in image processing?

In image processing, common types of linear filters include mean filters, which average pixel values to reduce noise; Gaussian filters, which apply a weighted average based on a Gaussian distribution to smooth images; and Sobel filters, used for edge detection by emphasizing gradients in the image. Other types include Laplacian filters, which enhance edges by highlighting regions of rapid intensity change, and linear convolution filters, which apply a kernel to modify pixel values based on their neighbors. Each of these filters serves distinct purposes in image analysis and enhancement.