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watermark_remove.py
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watermark_remove.py
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# -*- coding: utf-8 -*-
"""
Created on Tue Apr 3 11:26:11 2018
@author: zhangyaxu
"""
import cv2
from matplotlib import pyplot as plt
from matplotlib.font_manager import FontProperties
font = FontProperties(fname=r"c:\windows\fonts\SimSun.ttc",size = 14)
import numpy as np
# 膨胀算法 Kernel
_DILATE_KERNEL = np.array([[0, 0, 1, 0, 0],
[0, 0, 1, 0, 0],
[1, 1, 1, 1, 1],
[0, 0, 1, 0, 0],
[0, 0, 1, 0, 0]], dtype=np.uint8)
class WatermarkRemover(object):
""""
去除图片中的水印(Remove Watermark)
"""
def __init__(self, verbose=True):
self.verbose = verbose
self.watermark_template_gray_img = None
self.watermark_template_mask_img = None
self.watermark_template_h = 0
self.watermark_template_w = 0
def load_watermark_template(self, watermark_template_filename):
"""
加载水印模板，以便后面批量处理去除水印
:param watermark_template_filename:
:return:
"""
self.generate_template_gray_and_mask(watermark_template_filename)
def dilate(self, img):
"""
对图片进行膨胀计算
:param img:
:return:
"""
dilated = cv2.dilate(img, _DILATE_KERNEL)
return dilated
def generate_template_gray_and_mask(self, watermark_template_filename):
"""
处理水印模板，生成对应的检索位图和掩码位图
检索位图
即处理后的灰度图，去除了非文字部分
:param watermark_template_filename: 水印模板图片文件名称
:return: x1, y1, x2, y2
"""
# 水印模板原图
img = cv2.imread(watermark_template_filename)
# 灰度图、掩码图
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
_, mask = cv2.threshold(gray, 0, 255, cv2.THRESH_TOZERO + cv2.THRESH_OTSU)
_, mask = cv2.threshold(mask, 127, 255, cv2.THRESH_BINARY)
mask = self.dilate(mask) # 使得掩码膨胀一圈，以免留下边缘没有被修复
# 水印模板原图去除非文字部分
img = cv2.bitwise_and(img, img, mask=mask)
plt.imshow(img)
plt.show()
# 后面修图时需要用到三个通道
mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2BGR)
self.watermark_template_gray_img = gray
self.watermark_template_mask_img = mask
self.watermark_template_h = img.shape[0]
self.watermark_template_w = img.shape[1]
return gray, mask
def find_watermark_from_gray(self, gray_img, watermark_template_gray_img):
"""
从原图的灰度图中寻找水印位置
:param gray_img: 原图的灰度图
:param watermark_template_gray_img: 水印模板的灰度图
:return: x1, y1, x2, y2
"""
# Load the images in gray scale
method = cv2.TM_CCOEFF
# Apply template Matching
res = cv2.matchTemplate(gray_img, watermark_template_gray_img, method)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
# If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:
x, y = min_loc
else:
x, y = max_loc
return x, y, x + self.watermark_template_w, y + self.watermark_template_h
def remove_watermark_raw(self, img, watermark_template_gray_img, watermark_template_mask_img):
"""
去除图片中的水印
:param img: 待去除水印图片位图
:param watermark_template_gray_img: 水印模板的灰度图片位图，用于确定水印位置
:param watermark_template_mask_img: 水印模板的掩码图片位图，用于修复原始图片
:return: 去除水印后的图片位图
"""
# 寻找水印位置
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
plt.imshow(img_gray)
plt.show()
x1, y1, x2, y2 = self.find_watermark_from_gray(img_gray, watermark_template_gray_img)
print('warter mark location (x1,x2),(y1,y2) =({0},{2}),({1},{3}): ',(x1,y1,x2,y2))
# 制作原图的水印位置遮板
mask = np.zeros(img.shape, np.uint8)
mask[y1:y2, x1:x2] = watermark_template_mask_img
mask = cv2.cvtColor(mask, cv2.COLOR_BGR2GRAY)
plt.imshow(mask)
plt.show()
# 用遮板进行图片修复，使用 TELEA 算法
dst = cv2.inpaint(img, mask, 5, cv2.INPAINT_TELEA)
# cv2.imwrite('dst.jpg', dst)
return dst
def remove_watermark(self, filename, output_filename=None):
"""
去除图片中的水印
:param filename: 待去除水印图片文件名称
:param output_filename: 去除水印图片后的输出文件名称
:return: 去除水印后的图片位图
"""
# 读取原图
img = cv2.imread(filename)
dst = self.remove_watermark_raw(img,
self.watermark_template_gray_img,
self.watermark_template_mask_img
)
if output_filename is not None:
cv2.imwrite(output_filename, dst)
return dst
path = 'E:\\spyder_workfiles\\test0\\image_algorithm'
## 测试房天下
watermark_template_filename = path + '\\wm4_fangtianxia-watermark-template.jpg'
remover = WatermarkRemover()
remover.load_watermark_template(watermark_template_filename)
rst0=remover.remove_watermark(path + '\\wm0_watermark.jpg')
rst1=remover.remove_watermark(path + '\\wm1_watermark.jpg')
rst2=remover.remove_watermark(path + '\\wm2_watermark.jpg')
rst3=remover.remove_watermark(path + '\\wm3_watermark.jpg')
rst4=remover.remove_watermark(path + '\\wm4_watermark.jpg')
rst=[rst0,rst1,rst2,rst3,rst4]
plt.figure(figsize=(20,15))
for ii in range(5):
plt.subplot(2,3,ii+1)
plt.imshow(rst[ii])
plt.title('{}'.format(ii))
plt.show()
# 测试安居客
#watermark_template_filename = path + '\\wm6_anjuke-watermark-template.jpg'
#remover = WatermarkRemover()
#remover.load_watermark_template(watermark_template_filename)
#
#rst0=remover.remove_watermark(path + '\\wm5_ajk.jpg')
#rst1=remover.remove_watermark(path + '\\wm7_ajk.jpg')
#
#rst=[rst0,rst1]
#plt.figure(figsize=(20,15))
#for ii in range(2):
# plt.subplot(1,2,ii+1)
# plt.imshow(rst[ii])
# plt.title('{}'.format(ii))
#plt.show()