Python比较两张图片的亮度、对比度、饱和度、锐度、sigma值、gamma值

要比较两张图片的亮度、对比度、饱和度、锐度、sigma值和gamma值，你可以使用Python中的图像处理库如OpenCV或PIL来实现。以下是使用OpenCV库进行比较的示例代码：

import cv2
import numpy as np

def compare_images(img1, img2):
    # 转换图片为Lab颜色空间
    lab1 = cv2.cvtColor(img1, cv2.COLOR_BGR2LAB)
    lab2 = cv2.cvtColor(img2, cv2.COLOR_BGR2LAB)

    # 计算亮度、对比度和饱和度的均值和标准差
    l_mean1, l_std1 = cv2.meanStdDev(lab1[:,:,0])
    l_mean2, l_std2 = cv2.meanStdDev(lab2[:,:,0])
    c_mean1, c_std1 = cv2.meanStdDev(lab1[:,:,1])
    c_mean2, c_std2 = cv2.meanStdDev(lab2[:,:,1])
    s_mean1, s_std1 = cv2.meanStdDev(lab1[:,:,2])
    s_mean2, s_std2 = cv2.meanStdDev(lab2[:,:,2])

    # 计算锐度
    lap1 = cv2.Laplacian(img1, cv2.CV_64F).var()
    lap2 = cv2.Laplacian(img2, cv2.CV_64F).var()

    # 计算sigma值
    gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
    gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
    sigma1 = np.std(gray1)
    sigma2 = np.std(gray2)

    # 计算gamma值
    gamma1 = np.mean(((img1 / 255) ** 2.2))
    gamma2 = np.mean(((img2 / 255) ** 2.2))

    # 打印结果
    print("亮度均值差异: ", np.abs(l_mean1 - l_mean2))
    print("亮度标准差差异: ", np.abs(l_std1 - l_std2))
    print("对比度均值差异: ", np.abs(c_mean1 - c_mean2))
    print("对比度标准差差异: ", np.abs(c_std1 - c_std2))
    print("饱和度均值差异: ", np.abs(s_mean1 - s_mean2))
    print("饱和度标准差差异: ", np.abs(s_std1 - s_std2))
    print("锐度差异: ", np.abs(lap1 - lap2))
    print("Sigma值差异: ", np.abs(sigma1 - sigma2))
    print("Gamma值差异: ", np.abs(gamma1 - gamma2))

# 读取图片
img1 = cv2.imread('image1.jpg')
img2 = cv2.imread('image2.jpg')

# 比较图片
compare_images(img1, img2)

请确保将`image1.jpg`和`image2.jpg`替换为你要比较的实际图片路径。该代码将计算并打印出两张图片之间的亮度、对比度、饱和度、锐度、sigma值和gamma值的差异。