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51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
"""
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Implemented an algorithm using opencv to tone an image with sepia technique
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"""
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from cv2 import destroyAllWindows, imread, imshow, waitKey
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def make_sepia(img, factor: int):
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"""
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Function create sepia tone.
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Source: https://en.wikipedia.org/wiki/Sepia_(color)
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"""
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pixel_h, pixel_v = img.shape[0], img.shape[1]
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def to_grayscale(blue, green, red):
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"""
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Helper function to create pixel's greyscale representation
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Src: https://pl.wikipedia.org/wiki/YUV
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"""
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return 0.2126 * red + 0.587 * green + 0.114 * blue
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def normalize(value):
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""" Helper function to normalize R/G/B value -> return 255 if value > 255"""
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return min(value, 255)
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for i in range(pixel_h):
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for j in range(pixel_v):
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greyscale = int(to_grayscale(*img[i][j]))
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img[i][j] = [
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normalize(greyscale),
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normalize(greyscale + factor),
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normalize(greyscale + 2 * factor),
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]
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return img
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if __name__ == "__main__":
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# read original image
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images = {
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percentage: imread("image_data/lena.jpg", 1) for percentage in (10, 20, 30, 40)
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}
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for percentage, img in images.items():
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make_sepia(img, percentage)
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for percentage, img in images.items():
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imshow(f"Original image with sepia (factor: {percentage})", img)
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waitKey(0)
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destroyAllWindows()
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