Iphone 缺少一点，即当目标颜色为暗时，更改色调/仅/不会使像素按需要变暗。您刚刚编辑了答案，为亮度添加了偏移；但是，偏移可能会导致负值或对比度变差（无论如何，这不是调整对象亮度的正确方法）。您还手动更改了偏移量，但没有考虑要匹配的/所需/颜色（我如何知道所需颜色的

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缺少一点，即当目标颜色为暗时，更改色调/仅/不会使像素按需要变暗。您刚刚编辑了答案，为亮度添加了偏移；但是，偏移可能会导致负值或对比度变差（无论如何，这不是调整对象亮度的正确方法）。您还手动更改了偏移量，但没有考虑要匹配的/所需/颜色（我如何知道所需颜色的亮度比所需颜色暗80？）好吧，为了证明我的方法有效，我添加了输出图像，您清楚地看到，“偏移量可能导致负值或对比度降低”是不正确的。因为我不是简单地添加偏移量！关于你的第二个问题，对于一个给定的像素，如果用户输入所需的颜色H/L，那么你只需与像素的当前H/L进行比较，瞧，你就有了区别。请看我更新的问题，我添加了我对该解决方案的关注

import cv2
orig = cv2.imread("original.jpg")
hsv = cv2.cvtColor(orig, cv2.COLOR_BGR2HSV)
hsv[:,:,0] += 100
bgr = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
cv2.imwrite('changed.jpg', bgr)

import cv2
orig = cv2.imread("original.jpg")
hls = cv2.cvtColor(orig, cv2.COLOR_BGR2HLS)
hls[:,:,0] += 80 # change color from blue to red, hue
for i in range(1,50): # 50 times reduce lightness 
 # select indices where lightness is greater than 0 (black) and less than very bright 
 # 220-i*2 is there to reduce lightness of bright pixel fewer number of times (than 50 times), 
 # so in the first iteration we don't reduce lightness of pixels which have lightness >= 200, in the second iteration we don't touch pixels with lightness >= 198 and so on
 ind = (hls[:,:,1] > 0) & (hls[:,:,1] < (220-i*2))
 # from the lightness of the selected pixels we subtract 1, using trick true=1 false=0
 # so the selected pixels get darker
 hls[:,:,1] -= ind
bgr = cv2.cvtColor(hls, cv2.COLOR_HLS2BGR)
cv2.imwrite('changed.jpg', bgr)