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import sys
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import cv2
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import numpy as np
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import matplotlib.pyplot as plt
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def Anti_sharpening_masking(img_path):
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img = cv2.imread(img_path, 0) # 读取图片
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m, n = img.shape[0], img.shape[1]
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# 利用局部平均法得到人为模糊后的的图像res
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kernel = np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]], dtype=int)
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res = cv2.filter2D(img, cv2.CV_16S, kernel) / 9
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res = cv2.convertScaleAbs(res)
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ans = np.zeros((m, n), dtype=np.int32)
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for i in range(m):
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for j in range(n):
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ans[i, j] = int(img[i, j]) + 9 * (int(img[i, j]) - int(res[i, j]))
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if ans[i, j] > 255:
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ans[i, j] = 255
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elif ans[i][j] < 0:
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ans[i, j] = 0
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cv2.imwrite('./output/Anti_sharpening_masking.jpg', ans)
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'''
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输入：img_path:图片地址
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输出：反锐化掩膜法的结果
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'''
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if __name__ == '__main__':
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Anti_sharpening_masking(sys.argv[1])
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