Function blur_edge

官方samples/deconvolution.py:43–50

(img, d=31)

def blur_edge(img, d=31):
    h, w  = img.shape[:2]
    img_pad = cv2.copyMakeBorder(img, d, d, d, d, cv2.BORDER_WRAP)
    img_blur = cv2.GaussianBlur(img_pad, (2*d+1, 2*d+1), -1)[d:-d,d:-d]
    y, x = np.indices((h, w))
    dist = np.dstack([x, w-x-1, y, h-y-1]).min(-1)
    w = np.minimum(np.float32(dist)/d, 1.0)
    return img*w + img_blur*(1-w)

def motion_kernel(angle, d, sz=65):
    kern = np.ones((1, d), np.float32)