python中如何提高图像质量

from aip import AipImageProcess
import base64
import os
APP_ID = ''
API_KEY = ''
SECRET_KEY = ''
client = AipImageProcess(APP_ID, API_KEY, SECRET_KEY)
""" 读取图片 """
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()
def get_all_file(path):
    all_file=[]
    for i in os.listdir(path):
        file_name=os.path.join(path,i)
        all_file.append(file_name)
    return all_file
for img_path in get_all_file('img'):
    image = get_file_content(img_path)
    """ 调用图像清晰度增强 """
    if not os.path.exists('output'):
        os.mkdir('output')
    response = client.imageDefinitionEnhance(image)
    imgdata = base64.b64decode(response['image'])
    file = open(os.path.join('output', img_path.split('\\')[-1]), 'wb')
    file.write(imgdata)
    file.close()

from PIL import Image
from PIL import ImageEnhance
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['FangSong'] # 设置字体以便正确显示汉字
plt.rcParams['axes.unicode_minus'] = False # 正确显示连字符
# 原图
image = Image.open('img/timg.jpg')
# 亮度增强
enh_bri = ImageEnhance.Brightness(image)
brightness = 2
image_brightened = enh_bri.enhance(brightness)
# 色度增强(饱和度↑)
enh_col = ImageEnhance.Color(image)
color = 2
image_colored = enh_col.enhance(color)
# 对比度增强
enh_con = ImageEnhance.Contrast(image)
contrast = 2
image_contrasted = enh_con.enhance(contrast)
# 锐度增强
enh_sha = ImageEnhance.Sharpness(image)
sharpness = 4.0
image_sharped = enh_sha.enhance(sharpness)
fig,axes=plt.subplots(nrows=2,ncols=3,figsize=(10,8),dpi=100)
axes[0,0].imshow(np.array(image, dtype=np.uint8)[:,:,::-1])
axes[0,0].set_title("原图")
axes[0,1].imshow(np.array(image_brightened, dtype=np.uint8)[:,:,::-1])
axes[0,1].set_title("亮度增强")
axes[0,2].imshow(np.array(image_colored, dtype=np.uint8)[:,:,::-1])
axes[0,2].set_title("饱和度增强")
axes[1,0].imshow(np.array(image_contrasted, dtype=np.uint8)[:,:,::-1])
axes[1,0].set_title("对比度增强")
axes[1,1].imshow(np.array(image_sharped, dtype=np.uint8)[:,:,::-1])
axes[1,1].set_title("锐度增强")
axes[1,2].imshow(np.array(image_sharped, dtype=np.uint8)[:,:,::-1])
axes[1,2].set_title("锐度增强")
plt.show()

import cv2
import numpy as np
import math
def psnr1(img1, img2):
   mse = np.mean((img1 - img2) ** 2 )
   if mse < 1.0e-10:
      return 100
   return 10 * math.log10(255.0**2/mse)
def psnr2(img1, img2):
   mse = np.mean( (img1/255. - img2/255.) ** 2 )
   if mse < 1.0e-10:
      return 100
   PIXEL_MAX = 1
   return 20 * math.log10(PIXEL_MAX / math.sqrt(mse))

gt = cv2.imread('1.jpg')
img= cv2.imread('2.jpg')
print(psnr1(gt,img))
print(psnr2(gt,img))

mse = np.mean((img1 - img2) ** 2 )