Module imageproc::filter

Functions for filtering images.

Structs

• Kernel
  A 2D kernel, used to filter images via convolution.

Functions

• bilateral_filter
  Denoise 8-bit grayscale image using bilateral filtering.
• box_filter
  Convolves an 8bpp grayscale image with a kernel of width (2 * x_radius + 1) and height (2 * y_radius + 1) whose entries are equal and sum to one. i.e. each output pixel is the unweighted mean of a rectangular region surrounding its corresponding input pixel. We handle locations where the kernel would extend past the image’s boundary by treating the image as if its boundary pixels were repeated indefinitely.
• filter3x3
  Returns 2d correlation of an image with a 3x3 row-major kernel. Intermediate calculations are performed at type K, and the results clamped to subpixel type S. Pads by continuity.
• gaussian_blur_f32
  Blurs an image using a Gaussian of standard deviation sigma. The kernel used has type f32 and all intermediate calculations are performed at this type.
• horizontal_filter
  Returns horizontal correlations between an image and a 1d kernel. Pads by continuity. Intermediate calculations are performed at type K.
• median_filter
  Applies a median filter of given dimensions to an image. Each output pixel is the median of the pixels in a (2 * x_radius + 1) * (2 * y_radius + 1) kernel of pixels in the input image.
• separable_filter
  Returns 2d correlation of view with the outer product of the 1d kernels h_kernel and v_kernel.
• separable_filter_equal
  Returns 2d correlation of an image with the outer product of the 1d kernel filter with itself.
• sharpen3x3
  Sharpens a grayscale image by applying a 3x3 approximation to the Laplacian.
• sharpen_gaussian
  Sharpens a grayscale image using a Gaussian as a low-pass filter.
• vertical_filter
  Returns horizontal correlations between an image and a 1d kernel. Pads by continuity.