gaussianblur

gaussianblur(img: np.ndarray, ksize: int | tuple[int, int] | np.ndarray = 3, sigma_x: int = 0, **kwargs) -> np.ndarray

• Description: Applies a Gaussian blur to the input image.

• Parameters

  • img (np.ndarray): The input image to be blurred.
  • ksize (Union[int, Tuple[int, int]]): The size of the kernel used for the blur. If an integer is provided, a square kernel of the specified size is used. If a tuple (k_height, k_width) is provided, a rectangular kernel of the specified size is used. Default is 3.
  • sigma_x (int): The standard deviation in the X direction for the Gaussian kernel. Default is 0.

• Notes

  • For backward compatibility, sigmaX=... is also accepted.

• Returns

  • np.ndarray: The blurred image.

• Example

  import capybara as cb
  
  img = cb.imread('lena.png')
  blur_img = cb.gaussianblur(img, ksize=5)