v1

def apply_blur(image: np.ndarray, blur_type: str, ksize: int = 5) -> np.ndarray:
    """
    Applies the specified blur to the image.

    Args:
        image: Input image.
        blur_type (str): Type of blur ('average', 'gaussian', 'median', 'bilateral').
        ksize (int, optional): Kernel size for the blur. Defaults to 5.

    Returns:
        np.ndarray: Blurred image.
    """

    if blur_type == "average":
        blurred_image = cv2.blur(image, (ksize, ksize))
    elif blur_type == "gaussian":
        blurred_image = cv2.GaussianBlur(image, (ksize, ksize), 0)
    elif blur_type == "median":
        blurred_image = cv2.medianBlur(image, ksize)
    elif blur_type == "bilateral":
        blurred_image = cv2.bilateralFilter(image, ksize, 75, 75)
    else:
        raise ValueError(f"Unknown blur type: {blur_type}")

    return blurred_image