retinex算法求亮度分量
时间: 2023-03-27 11:01:54 浏览: 60
Retinex算法是一种用于图像增强的算法,它通过对图像的亮度分量进行分离和调整来提高图像的质量。具体实现方法包括多种,如单尺度Retinex算法、多尺度Retinex算法等。这些算法都是基于对图像亮度分量的分离和调整,以达到图像增强的效果。
相关问题
retinex算法求亮度分量python代码
以下是 retinex 算法求亮度分量的 Python 代码:
```python
import cv2
import numpy as np
def retinex(img, sigma_list):
retinex_img = np.zeros_like(img)
for sigma in sigma_list:
img_blur = cv2.GaussianBlur(img, (, ), sigma)
img_blur = np.where(img_blur == , .1, img_blur)
retinex = np.log10(img) - np.log10(img_blur)
retinex_img += retinex
retinex_img = retinex_img / len(sigma_list)
return retinex_img
img = cv2.imread('image.jpg')
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
sigma_list = [15, 80, 250]
retinex_img = retinex(img, sigma_list)
cv2.imwrite('retinex.jpg', retinex_img)
```
希望能对您有所帮助。
多尺度retinex算法求亮度分量python代码
以下是多尺度retinex算法求亮度分量的Python代码:
```python
import cv2
import numpy as np
def retinex(img, sigma_list):
retinex_img = np.zeros_like(img)
for sigma in sigma_list:
img_blur = cv2.GaussianBlur(img, (, ), sigma)
img_blur = np.where(img_blur == , .1, img_blur)
retinex = np.log10(img) - np.log10(img_blur)
retinex_img += retinex
retinex_img = retinex_img / len(sigma_list)
return retinex_img
img = cv2.imread('image.jpg')
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img_retinex = retinex(img, [15, 80, 250])
img_retinex = np.uint8(np.clip((img_retinex + 3.) * 64, , 255))
cv2.imshow('Retinex', img_retinex)
cv2.waitKey()
```
希望能对你有所帮助!