• 均值模糊
• 中值模糊
• 自定義模糊

均值模糊

import cv2 as cv
import  numpy as np
# 均值模糊
def blur_demo(img):
    dst = cv.blur(img, (5, 5))
    cv.imshow("blur image", dst)

中值模糊

import cv2 as cv
import  numpy as np
# 中值模糊
def median_blur_demo(img):
    dst = cv.medianBlur(img, 5)
    cv.imshow("median_blur_demo"
 
, dst)

對比均值模糊和中值模糊

image = cv.imread('./data/ai.png', 1)
cv.imshow('source image', image)
median_blur_demo(image)
blur_demo(image)
cv.waitKey(0)
cv.destroyAllWindows()

中值濾波處理椒鹽噪聲效果顯著!

自定義模糊

注意:要做防止溢位的處理

def custom_blur_demo(img):
    kernel = np.ones([5, 5], np.float32)/25
    dst = cv.filter2D(
 
img, -1, kernel=kernel)
    cv.imshow("custom_blur_demo", dst)

自定義銳化操作

def custom_blur_demo(img):
    #kernel = np.ones([5, 5], np.float32)/25
    kernel = np.array([[0, -1, 0],
                       [-1, 5, -1],
                       [0, -1, 0]], np.float32)
    dst = cv.filter2D(img, -1, kernel=
 
kernel)
    cv.imshow("custom_blur_demo", dst)

演示demo:

image = cv.imread('./data/lena.jpg', 1)
cv.imshow('source image', image)
custom_blur_demo(image)
cv.waitKey(0)
cv.destroyAllWindows()

原圖:

自定義1:

自定義2: