python实现opencv学习十四：高斯金字塔和拉普拉斯金字塔_高斯拉普拉斯金字塔

代码：

# -*- coding=GBK -*-
# coding:utf-8
import cv2 as cv
import numpy as np
# 高斯金字塔和拉普拉斯金字塔的原理和python构建：https://zhuanlan.zhihu.com/p/94014493
 
# 高斯金字塔
def pyramid_image(image):
    level = 3  # 金字塔的层数
    temp = image.copy()  # 拷贝图像
    pyramid_images = []
    for i in range(level):
        dst = cv.pyrDown(temp)
        pyramid_images.append(dst)
        cv.namedWindow(f"Gaussian pyramid{str(i)}", 0)  # 图片尺寸
        cv.imshow("Gaussian pyramid" + str(i), dst)
        temp = dst.copy()
    return pyramid_images
 
 
# 拉普拉斯金字塔
def laplian_image(image):
    pyramid_images = pyramid_image(image)
    level = len(pyramid_images)
    for i in range(level - 1, -1, -1):
        if (i - 1) < 0:
            expand = cv.pyrUp(pyramid_images[i], dstsize = image.shape[:2])
            lpls = cv.subtract(image, expand)
            lpls = np.power(lpls / float(np.max(lpls)), 1 / 1.5) # 伽马矫正
            cv.namedWindow(f"Laplace{str(i)}", 0)  # 图片尺寸
            cv.imshow("Laplace" + str(i), lpls)
        else:
            expand = cv.pyrUp(pyramid_images[i], dstsize = pyramid_images[i - 1].shape[:2])
            lpls = cv.subtract(pyramid_images[i - 1], expand)
            lpls = np.power(lpls / float(np.max(lpls)), 1 / 1.5) # 伽马矫正
            cv.namedWindow(f"Laplace{str(i)}", 0)  # 图片尺寸
            cv.imshow("Laplace" + str(i), lpls)
 
 
src = cv.imread("fengling_2^n.png")
# cv.namedWindow("fengling_2^n.png",0)#图片尺寸
cv.imshow("fengling_2^n.png", src)
laplian_image(src)
cv.waitKey(0)
cv.destroyAllWindows()

结果：

备注：

高斯金字塔和拉普拉斯金字塔原理和构建：https://zhuanlan.zhihu.com/p/94014493