python RGB转HIS和YIQ，加噪声后转回RGB 噪声形式不限

您好！感谢您向我提出问题。我会尝试回答您的问题，首先，RGB到HIS的转换可以使用以下公式：

H = arctan2((sqrt(3)*(G-B)),(2*R-G-B))*180/π

if(B>G):

H=360-H

I = (R+G+B)/3

S = 1-min(min(R,G),B)/I

对于RGB到YIQ的转换，可以使用以下公式：

Y = 0.299*R + 0.587*G + 0.114*B

I = 0.596*R - 0.274*G - 0.322*B

Q = 0.211*R - 0.523*G + 0.312*B

要加噪声，可以使用Python的NumPy库来实现。一种方式是添加高斯噪声，代码如下所示：

import numpy as np

noise = np.random.normal(0, 0.1, image.shape)

noisy_image = image + noise

对于RGB到HIS和YIQ的转换，可以使用以下代码：

import numpy as np
import cv2

# Read image
image = cv2.imread("image.jpg")

# Convert from RGB to HIS
his_image = cv2.cvtColor(image, cv2.COLOR_RGB2HLS)

# Add noise to HIS image
noise = np.random.normal(0, 0.1, his_image.shape)
noisy_his_image = his_image + noise

# Convert from HIS to RGB
noisy_image = cv2.cvtColor(noisy_his_image, cv2.COLOR_HLS2RGB)

# Convert from RGB to YIQ
yiq_image = cv2.cvtColor(noisy_image, cv2.COLOR_RGB2YIQ)

# Add noise to YIQ image
noise = np.random.normal(0, 0.1, yiq_image.shape)
noisy_yiq_image = yiq_image + noise

# Convert from YIQ to RGB
final_image = cv2.cvtColor(noisy_yiq_image, cv2.COLOR_YUV2RGB)

我希望这可以帮助您回答您的问题！