I have taken the Lena image and applied CLAHE transformation on the Value component (using HSV transformation) of the image. As can be seen from the image there are some artifacts that are due to the tiles used in CLAHE.
import cv2 as cv def pcnn_4(img): hsv_img = cv.cvtColor(img, cv.COLOR_RGB2HSV) h, s, v = cv.split(hsv_img) clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8,8)) contrast_enhanced_img = clahe.apply(v) return contrast_enhanced_img img = cv.imread('lena15.jpg') result_img = pcnn_4(img) cv.imshow('image', result_img) cv.waitKey(0) cv.destroyAllWindows()
_https://drive.google.com/file/d/1xrxJJ4C-cxXOPfNvQBkhj6i0B9NcVTlN/view?usp=sharing (I can’t share the link directly as I am a new user)
I found this on OpenCV 's website
After equalization, to remove artifacts in tile borders, bilinear interpolation is applied.
I am not too sure on how bilinear interpolation should be applied. I tried downsizing the image using bilinear interpolation, but that does not help.
I need help on how I could apply bilinear interpolation to remove these artifacts. Any other techniques are also welcome.