基于均值和方差实现彩色图像的局部增强python代码

以下是基于均值和方差实现彩色图像的局部增强的 Python 代码：

import cv2
import numpy as np

def local_contrast_enhancement(img, ksize=15, alpha=1.5, beta=0.5):
    # Convert the image to float32
    img = np.float32(img) / 255.0

    # Split the image into three channels
    b, g, r = cv2.split(img)

    # Calculate the mean and standard deviation of each channel
    mean_b, std_b = cv2.meanStdDev(b)
    mean_g, std_g = cv2.meanStdDev(g)
    mean_r, std_r = cv2.meanStdDev(r)

    # Apply the local contrast enhancement to each channel
    b = (b - mean_b) * alpha / std_b + mean_b + beta
    g = (g - mean_g) * alpha / std_g + mean_g + beta
    r = (r - mean_r) * alpha / std_r + mean_r + beta

    # Merge the channels back into an image
    img = cv2.merge((b, g, r))

    # Convert the image back to uint8
    img = np.uint8(img * 255.0)

    return img

这个函数接受一个彩色图像作为输入，以及可选的参数 ksize、alpha 和 beta。ksize 是局部均值和方差计算的窗口大小，alpha 和 beta 是增强参数。函数返回增强后的彩色图像。