对比度、亮度、高斯模糊滤波操作

# -*- coding: utf-8 -*-

import os
from PIL import Image, ImageEnhance
from scipy.ndimage import filters
from scipy import misc
#from matplotlib import pyplot as plt

class preprocess_img(object):
    def __init__(self,imgs_path,save_dir = "./"):
        self.imgs_path = imgs_path
        self.save_dir = save_dir
        
        if not os.path.exists(self.save_dir):
            os.makedirs(self.save_dir)
            print("%s had been made successfully!"%(self.save_dir))
    
    def change_contrast(self,factor):
        '''
        Adjust image contrast. 
        This class can be used to control the contrast of an image, similar
        to the contrast control on a TV set. An enhancement factor of 0.0
        gives a solid grey image. A factor of 1.0 gives the original image.
        '''
        if os.path.isdir(self.imgs_path):  
            img_lists = os.listdir(self.imgs_path)
            for item in img_lists:
                img_path = os.path.join(self.imgs_path,item)
                img = Image.open(img_path)
                img_change = ImageEnhance.Contrast(img).enhance(factor)
                save_path = os.path.join(self.save_dir,item) 
                img_change.save(save_path)
        else:
            img = Image.open(self.imgs_path)
            img_change = ImageEnhance.Contrast(img).enhance(factor)
            temp_tuple = os.path.split(self.imgs_path)
            save_path = os.path.join(temp_tuple[0],"Contr_"+str(factor)+"_"+temp_tuple[1])
            img_change.save(save_path)
          
    def change_bright(self, factor):
      '''
      Adjust image brightness, used to control the brightness of an image.
      An enhancement factor of 0.0 gives a black image. A factor of 1.0 gives the
      original image.
      param factor: A floating point value controlling the enhancement.
      '''
      if os.path.isdir(self.imgs_path):  
          img_lists = os.listdir(self.imgs_path)
          for item in img_lists:
            img_path = os.path.join(self.imgs_path,item)
            img = Image.open(img_path)
            img_change = ImageEnhance.Brightness(img).enhance(factor)
            save_path = os.path.join(self.save_dir,item) 
            img_change.save(save_path)
      else:
          img = Image.open(self.imgs_path)
          img_change = ImageEnhance.Brightness(img).enhance(factor)
          temp_tuple = os.path.split(self.imgs_path)
          save_path = os.path.join(temp_tuple[0],"Bright_"+str(factor)+"_"+temp_tuple[1])
          img_change.save(save_path)
    
    
    def change_Blur(self,factor):
      '''
      Parameters
        ----------
        input : array_like
            Input array to filter.
        sigma : scalar or sequence of scalars
            Standard deviation for Gaussian kernel. The standard
            deviations of the Gaussian filter are given for each axis as a
            sequence, or as a single number, in which case it is equal for
      '''
      if os.path.isdir(self.imgs_path):  
          img_lists = os.listdir(self.imgs_path)
          for item in img_lists:
            img_path = os.path.join(self.imgs_path,item)
            imag_arr = misc.imread(img_path,mode='RGB')
            blur_image = filters.gaussian_filter(imag_arr,[factor, factor, 0])
            #blur_image = filters.uniform_filter(imag_arr,[factor, factor, 0])
            save_path = os.path.join(self.save_dir,item)
            misc.imsave(save_path,blur_image)  
            
      else:
          imag_arr = misc.imread(self.imgs_path,mode='RGB')
          blur_image = filters.gaussian_filter(imag_arr,[factor, factor, 0])
          temp_tuple = os.path.split(self.imgs_path)
          save_path = os.path.join(temp_tuple[0],"Blur_"+str(factor)+"_"+temp_tuple[1])
          misc.imsave(save_path,blur_image)
          
      
if __name__ == '__main__':
    temp = preprocess_img(imgs_path=r"65412119891005287X_20170114044649-idcardimage.jpg")
    temp.change_contrast(factor=2.0)