opencv笔记之--高斯模糊处理

最新推荐文章于 2025-04-20 09:36:25 发布

elegentbeauty

最新推荐文章于 2025-04-20 09:36:25 发布

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分类专栏： python&opencv

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高斯噪点

#!/usr/bin/env python
# _*_ coding:utf-8 _*_
import cv2 as cv
import numpy as np


def clamp(pv):
    if pv > 255:
        return 255
    if pv < 0:
        return 0
    else:
        return pv

def gaussian_noise(image):
    h, w, c = image.shape
    #对每一行每一列每一个像素点三个通道加上一个随机数的值就产生了一个随机高斯的随机噪声的图片
    for row in range(h):
        for col in range(w):
            s = np.random.normal(0, 20, 3)
            b = image[row, col, 0] # blue
            g = image[row, col, 1] # green
            r = image[row, col, 2] # red
            image[row, col, 0] = clamp(b + s[0])
            image[row, col, 1] = clamp(g + s[1])
            image[row, col, 2] = clamp(r + s[2])
    cv.imshow("noise image", image)

src = cv.imread("F:\miao.jpg")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", src)
gaussian_