opencv 打开白平衡

在OpenCV中，可以使用以下代码进行白平衡处理：

import cv2

image = cv2.imread("input_image.png")

# Convert the image to LAB color space
lab_image = cv2.cvtColor(image, cv2.COLOR_BGR2LAB)

# Split the LAB image into L, A, and B channels
l_channel, a_channel, b_channel = cv2.split(lab_image)

# Apply the CLAHE algorithm to the L channel
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
clipped_l_channel = clahe.apply(l_channel)

# Merge the L, A, and B channels back into a LAB image
clahe_image = cv2.merge((clipped_l_channel, a_channel, b_channel))

# Convert the LAB image back to RGB color space
result_image = cv2.cvtColor(clahe_image, cv2.COLOR_LAB2BGR)

cv2.imshow("Original Image", image)
cv2.imshow("White Balanced Image", result_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

其中，我们首先将图像转换为LAB颜色空间，然后将其分为L，A和B通道。接下来，我们使用CLAHE算法对L通道进行平衡处理。最后，我们将L，A和B通道合并回一个LAB图像，并将其转换回RGB颜色空间。