Photo Denoising



In [6]:

    
import numpy as np
import cv2

image = cv2.imread('images/elephant.jpg')

# cv2.fastNlMeansDenoisingColored(input, None, h, hForColorComponents, templateWindowSize, searchWindowSize)
# None are - the filter strength 'h' (5-12 is a good range)
# Next is hForColorComponents, set as same value as h again
# templateWindowSize (odd numbers only) rec. 7
# searchWindowSize (odd numbers only) rec. 21

dst = cv2.fastNlMeansDenoisingColored(image, None, 11, 6, 7, 21)

cv2.imshow('Fast Means Denoising', dst)
cv2.waitKey(0)

cv2.destroyAllWindows()

There are 4 variations of Non-Local Means Denoising:

cv2.fastNlMeansDenoising() - works with a single grayscale images
cv2.fastNlMeansDenoisingColored() - works with a color image.
cv2.fastNlMeansDenoisingMulti() - works with image sequence captured in short period of time (grayscale images)
cv2.fastNlMeansDenoisingColoredMulti() - same as above, but for color images.