Python dd不会根据颜色均匀地使图像变亮。这个答案是正确的。我尝试了这个代码，但显示了TypeError：cv2.add（）处参数'dst'的预期Ptr。什么是增加？@mLstudent33它是所需亮度增加的量。我编辑了我的答案以使其更清晰。我试图更改beta版，

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dd不会根据颜色均匀地使图像变亮。这个答案是正确的。我尝试了这个代码，但显示了TypeError：cv2.add（）处参数'dst'的预期Ptr。什么是

增加

？@mLstudent33它是所需亮度增加的量。我编辑了我的答案以使其更清晰。我试图更改beta版，但结果没有更改，因此，它应该做什么。我很惊讶这是唯一提到

cv:：Mat:：convertTo（）

的答案。工作非常出色，只需一次API调用即可完成。

img = cv2.imread('test.jpg') #load rgb image
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) #convert it to hsv

for x in range(0, len(hsv)):
    for y in range(0, len(hsv[0])):
        hsv[x, y][2] += value

img = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
cv2.imwrite("image_processed.jpg", img)

hsv += value

img = cv2.imread('test.jpg') #load rgb image
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) #convert it to hsv

h, s, v = cv2.split(hsv)
v += 255
final_hsv = cv2.merge((h, s, v))

img = cv2.cvtColor(final_hsv, cv2.COLOR_HSV2BGR)
cv2.imwrite("image_processed.jpg", img)

hsv[:,:,2] += value

def increase_brightness(img, value=30):
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    h, s, v = cv2.split(hsv)

    lim = 255 - value
    v[v > lim] = 255
    v[v <= lim] += value

    final_hsv = cv2.merge((h, s, v))
    img = cv2.cvtColor(final_hsv, cv2.COLOR_HSV2BGR)
    return img

frame = increase_brightness(frame, value=20)

import cv2
import numpy as np

image = cv2.imread('image.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

increase = 100

v = image[:, :, 2]
v = np.where(v <= 255 - increase, v + increase, 255)
image[:, :, 2] = v

image = cv2.cvtColor(image, cv2.COLOR_HSV2BGR)

cv2.imshow('Brightness', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

import cv2
import numpy as np

image = cv2.read('image.png')
hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
value = 42 #whatever value you want to add
cv2.add(hsv[:,:,2], value, hsv[:,:,2])
image = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
cv2.imwrite('out.png', image)

mImage = cv2.imread('image1.jpg')

hsvImg = cv2.cvtColor(mImage,cv2.COLOR_BGR2HSV)

value = 0

vValue = hsvImg[...,2]
hsvImg[...,2] = np.where((255-vValue)<value,255,vValue+value)

plt.subplot(111), plt.imshow(cv2.cvtColor(hsvImg,cv2.COLOR_HSV2RGB))
plt.title('brightened image'), plt.xticks([]), plt.yticks([])
plt.show()

mImage = cv2.imread('image1.jpg')

hsvImg = cv2.cvtColor(mImage,cv2.COLOR_BGR2HSV)

# decreasing the V channel by a factor from the original
hsvImg[...,2] = hsvImg[...,2]*0.6

plt.subplot(111), plt.imshow(cv2.cvtColor(hsvImg,cv2.COLOR_HSV2RGB))
plt.title('brightened image'), plt.xticks([]), plt.yticks([])
plt.show()

Mat resultBrightImage;    
origImage.convertTo(resultBrightImage, -1, 1, percent); // Where percent = (int)(percent_val/100)*255, e.g., percent = 50 to increase brightness by 50%

def apply_brightness_contrast(input_img, brightness = 255, contrast = 127):
    brightness = map(brightness, 0, 510, -255, 255)
    contrast = map(contrast, 0, 254, -127, 127)

    if brightness != 0:
        if brightness > 0:
            shadow = brightness
            highlight = 255
        else:
            shadow = 0
            highlight = 255 + brightness
        alpha_b = (highlight - shadow)/255
        gamma_b = shadow

        buf = cv2.addWeighted(input_img, alpha_b, input_img, 0, gamma_b)
    else:
        buf = input_img.copy()

    if contrast != 0:
        f = float(131 * (contrast + 127)) / (127 * (131 - contrast))
        alpha_c = f
        gamma_c = 127*(1-f)

        buf = cv2.addWeighted(buf, alpha_c, buf, 0, gamma_c)

    cv2.putText(buf,'B:{},C:{}'.format(brightness,contrast),(10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
    return buf

def map(x, in_min, in_max, out_min, out_max):
    return int((x-in_min) * (out_max-out_min) / (in_max-in_min) + out_min)

def change_brightness(img, alpha, beta):
   return cv2.addWeighted(img, alpha, np.zeros(img.shape, img.dtype),0, beta)

 alpha(pixel_value) + beta.

def shift_channel(c, amount):
   if amount > 0:
        lim = 255 - amount
        c[c >= lim] = 255
        c[c < lim] += amount
    elif amount < 0:
        amount = -amount
        lim = amount
        c[c <= lim] = 0
        c[c > lim] -= amount
    return c

rand_h, rand_s, rand_v = 50, 50, 50
img_hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV)
h, s, v = cv2.split(img_hsv)
# Random shift hue
shift_h = random.randint(-rand_h, rand_h)
h = ((h.astype('int16') + shift_h) % 180).astype('uint8')
# Random shift saturation
shift_s = random.randint(-rand_s, rand_s)
s = shift_channel(s, shift_s)
# Random shift value
shift_v = random.randint(-rand_v, rand_v)
v = shift_channel(v, shift_v)
shift_hsv = cv2.merge([h, s, v])
print(shift_h, shift_s, shift_v)
img_rgb = cv2.cvtColor(shift_hsv, cv2.COLOR_HSV2RGB)

img = cv2.imread(path_to_image)
img = change_brightness(img, value=30) #increases
img = change_brightness(img, value=-30) #decreases

def change_brightness(img, value=30):
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    h, s, v = cv2.split(hsv)
    v = cv2.add(v,value)
    v[v > 255] = 255
    v[v < 0] = 0
    final_hsv = cv2.merge((h, s, v))
    img = cv2.cvtColor(final_hsv, cv2.COLOR_HSV2BGR)
return img