clahe.py

clahe.py

import cv2


def equalize_histogram(path):
    # Color
    print('Processing (Color): {}'.format(path))
    img = cv2.imread(path)
    lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
    lab_planes = cv2.split(lab)

    # apply CLAHE to lightness channel
    clahe = cv2.createCLAHE(clipLimit=10.0, tileGridSize=(8, 8))
    lab_planes[0] = clahe.apply(lab_planes[0])
    lab = cv2.merge(lab_planes)
    img = cv2.cvtColor(lab, cv2.COLOR_LAB2BGR)

    # cv2.imshow('image', img)
    # cv2.waitKey(0)
    # cv2.destroyAllWindows()

    # cv2.imwrite(path, img)

    return path

# equalize_histogram('/Users/benjamintan/PycharmProjects/clahe/1538636920.819418.png')
# equalize_histogram('/Users/benjamintan/PycharmProjects/clahe/1538637082.119816.png')
# equalize_histogram('/Users/benjamintan/PycharmProjects/clahe/1538637098.719877.png')
equalize_histogram('/Users/benjamintan/PycharmProjects/clahe/1538637121.319763.png')