Remove lines from this image - python-3.x

Question

Trying to remove those lines after stitching multiple images but these lines are just not going away
Tried morphological Transformations of opencv nothing worked. Any help would be great.

Answer 1

You can use Gaussian blurring for this. However, as you want to remove vertical lines use a m x 1 kernel as it would affect only the vertical lines and will not blur horizontally.
img = cv2.imread('vertical_noise.jpg')
img = cv2.GaussianBlur(img, (11, 1), 0)
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
You can increase the kernel size to completely remove the lines but the image will also get blurrier.
EDIT
Sorry for the extremely late edit. If you don't want to blur then I don't know how to remove the lines in the car. However, the lines outside the car can be removed. For this create a threshold using cv2.threshold with a high thresh value and then find contours on it. Then using cv2.drawContours the blank spaces in the threshold image can be filled which can be treated as a mask. Using cv2.bitwise_and obtain two images using that as a mask with a blank image and using its inverse as a mask along with the original image. Then combine then cv2.bitwise_or.
import cv2
import numpy as np
img = cv2.imread('vertical_noise.jpg')
height, width, ch = img.shape
blur = cv2.GaussianBlur(img, (11, 1), 0)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
_, thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
_, cnts, _ = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE)
cv2.drawContours(thresh, cnts, -1, 0, 3)
res = cv2.bitwise_and(img, img, mask=cv2.bitwise_not(thresh))
blank = np.ones((height, width, ch), np.uint8)*255
inv_res = cv2.bitwise_and(blank, blank, mask=thresh)
res = cv2.bitwise_or(res, inv_res)
cv2.imshow('image', res)
cv2.waitKey(0)
cv2.destroyAllWindows()
Now if you want you can blur it a little for the lines inside the car.