Curved Mask is a mathematical operation used in image processing to highlight or suppress the curved regions of an image. It is a nonlinear operation meaning that the output pixel value is not linearly related to the input pixel value. Curved Mask is used in a variety of applications, including image enhancement, segmentation, and denoising.
There are multiple ways to implement Curved Mask. One common approach is to use a Gaussian kernel. A Gaussian kernel is a bell-shaped function that is used to smooth images. By convolving an image with a Gaussian kernel, the curved regions of the image are smoothed out, while the sharp regions are preserved. The degree of smoothing can be controlled by the standard deviation of the Gaussian kernel: a larger standard deviation results in more smoothing.