def pixel_func(img, kernel):
mid = get_middle(kernel)
weight = GeneratePixelGauss(img, mid)
# need to normalize and apply cross correlation
weight_norm = custom_utils.norml_mtx(weight)
apply_weights = custom_utils.sum_cross_mtx(img, weight_norm)
return apply_weights
def combo_func(img, kernel):
mid = get_middle(kernel)
# generate pixel gaussian
pixel = GeneratePixelGauss(img, mid)
# combine with distance gaussian
dist = np.array(BLUR33).astype(np.float)
weight = pixel * dist
# apply the new window
weight_norm = custom_utils.norml_mtx(weight)
apply_weights = custom_utils.sum_cross_mtx(img, weight_norm)
return apply_weights
