论文<Moire Photo Restoration using multiresolution convolutional neural networks>
import cv2
import numpy as np
import math
if __name__ == '__main__':
im = cv2.imread('/Users/xxx/Desktop/qingyunian-1.jpg')
height, width = im.shape[0], im.shape[1]
degree = 3
center_x = width/2
center_y = height/2
im1 = np.zeros(im.shape,dtype = im.dtype)
for i in range(height):
for j in range(width):
x_offset = j-center_x
y_offset = i-center_y
radian = math.atan2(float(x_offset),float(y_offset))
radius = math.sqrt(1.0*x_offset*x_offset+y_offset*y_offset)
x = int(radius*math.cos(radian+radius*degree))
y = int(radius*math.sin(radian+radius*degree))
if x>=width:
x = width-1
if x<0:
x = 0
if y>=height:
y = height-1
if y<0:
y=0
im1[i,j,:] =im[y,x,:]
dst = (im1.astype(np.float32)-im.astype(np.float32))*0.3+im.astype(np.float32)
cv2.imshow('moire',dst.astype(np.uint8))
cv2.waitKey(0)
cv2.imwrite('/Users/xxx/Desktop/moire-qingyunian-1.png', dst)
