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