代码中为了切换图片的读取格式将图片保存后又读取了一遍，太过繁琐，需要改进的代码请前往

https://blog.csdn.net/lidongxx/article/details/92769009

from PIL import Image

from PIL import ImageFilter

import cv2

import time

import os

import numpy as np

im = Image.new("RGB", (400, 400), "white")

imndarray = np.array(im)

path = "C:/Users/Administrator/Desktop/E9-211-JPG/E9-JPG"

path1 = "C:/Users/Administrator/Desktop/newE9-JPG"

filenames = os.listdir(path)

time1 = time.time()

#读入图像

#resp = urllib.request.urlopen(url)

#image = np.asarray(bytearray(resp.read()), dtype="uint8")

#image = cv2.imdecode(image, cv2.IMREAD_COLOR)

for i in filenames:

filename = os.path.join(path, i)

filename1 = os.path.join(path1, i)

image = cv2.imdecode(np.fromfile(filename, dtype=np.uint8), -1)

#双三次插值

height, width = image.shape[:2] #获取原图像的水平方向尺寸和垂直方向尺寸。

temp = max(height, width)

multemp = temp/400

if height > width:

res = cv2.resize(image, (int(width / multemp), 400), interpolation=cv2.INTER_AREA)

elif height < width:

res = cv2.resize(image, (400, int(height / multemp)), interpolation=cv2.INTER_AREA)

else:

res = cv2.resize(image, (400, 400), interpolation=cv2.INTER_AREA)

cv2.imwrite("C:/Users/Administrator/Desktop/temp/101.jpg", res)

imgE = Image.open("C:/Users/Administrator/Desktop/temp/101.jpg")

gary2 = imgE.filter(ImageFilter.DETAIL)

#图像点运算

gary3 = gary2.point(lambda i: i*0.9)

#savePath = (filename1)

img_convert_ndarray = np.array(gary3)

height1, width1 = img_convert_ndarray.shape[:2]

temph = int((400 - height1)/2)

tempw = int((400 - width1)/2)

a = cv2.copyMakeBorder(img_convert_ndarray, temph, 400-temph-height1,tempw, 400-tempw-width1, cv2.BORDER_CONSTANT, value=[255, 255, 255])

cv2.imencode('.jpg', a)[1].tofile(filename1) # 保存图片

time2 = time.time()

print (u'总共耗时：' + str(time2 - time1) + 's')