Adding bloom effect to an image using CV2-CodePudding

I'm currently working on a simple photo editor using CV2 in the backend and I'm wondering whether it is possible to add a

import cv2
import numpy as np

# read image
img = cv2.imread('barn.jpg')

# set arguments
thresh_value = 245  # threshold to find white
blur_value = 50     # bloom smoothness
gain = 6            # bloom gain in intensity

# convert image to hsv colorspace as floats
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV).astype(np.float64)
h, s, v = cv2.split(hsv)

# Desire low saturation and high brightness for white
# So invert saturation and multiply with brightness
sv = ((255-s) * v / 255).clip(0,255).astype(np.uint8)

# threshold
thresh = cv2.threshold(sv, thresh_value, 255, cv2.THRESH_BINARY)[1]

# blur and make 3 channels
blur = cv2.GaussianBlur(thresh, (0,0), sigmaX=blur_value, sigmaY=blur_value)
blur = cv2.cvtColor(blur, cv2.COLOR_GRAY2BGR)

# blend blur and image using gain on blur
result = cv2.addWeighted(img, 1, blur, gain, 0)

# save output image
cv2.imwrite('barn_bloom.jpg', result)

# display IN and OUT images
cv2.imshow('image', img)
cv2.imshow('sv', sv)
cv2.imshow('thresh', thresh)
cv2.imshow('blur', blur)
cv2.imshow('result', result)
cv2.waitKey(0)
cv2.destroyAllWindows()

Result: