您可以尝试使用对比度优化和直方图剪切来自动调整亮度。可以通过增加直方图剪辑百分比(clip_hist_percent)来增加目标亮度。这是25%剪切的结果
α和β是自动计算的alpha 3.072289156626506
beta -144.3975903614458
这是剪辑的可视化效果。蓝色(原始)，橙色(自动调整后)。在
剪切结果为35%
alpha 3.8059701492537314
beta -201.71641791044777import cv2
import numpy as np
# from matplotlib import pyplot as plt
# Automatic brightness and contrast optimization with optional histogram clipping
def automatic_brightness_and_contrast(image, clip_hist_percent=25):
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Calculate grayscale histogram
hist = cv2.calcHist([gray],[0],None,[256],[0,256])
hist_size = len(hist)