一、原理

reduce=高斯模糊+降采樣
expand=擴大+卷積
PyrDown：降采樣
PyrUp：還原

二、高斯金字塔

import cv2 import numpy as np from matplotlib import pyplot as pltdef pyramid(image):level = 3temp = image.copy()pyramid_image = []for i in range(level):dst = cv2.pyrDown(temp)pyramid_image.append(dst)cv2.imshow("pyramid_down_"+str(i),dst)temp = dst.copy()return pyramid_imagesrc = cv2.imread(r"G:\Juptyer_workspace\study\opencv\opencv3\cat.png") cv2.imshow("image",src) cv2.namedWindow("image",cv2.WINDOW_AUTOSIZE) pyramid(src) cv2.waitKey(0) cv2.destroyAllWindows()

效果圖如下：

三、拉普拉斯金字塔

拉普拉斯金字塔對圖像大小有要求，必須是2的次方倍。

import cv2 import numpy as np from matplotlib import pyplot as pltdef pyramid(image):level = 3temp = image.copy()pyramid_image = []for i in range(level):dst = cv2.pyrDown(temp)pyramid_image.append(dst)cv2.imshow("pyramid_down_"+str(i),dst)temp = dst.copy()return pyramid_imagedef lapalian(image):pyramid_images = pyramid(image)#pyramid_images = pyramid_images.resize(512*512)level = len(pyramid_images)for i in range(level-1,-1,-1):if (i-1) <0:expand = cv2.pyrUp(pyramid_images[i],dstsize=image.shape[:2])lpls = cv2.subtract(image,expand)cv2.imshow("lapalian_down_"+str(i),lpls)else:expand = cv2.pyrUp(pyramid_images[i],dstsize=pyramid_images[i-1].shape[:2])lpls = cv2.subtract(pyramid_images[i-1],expand)cv2.imshow("lapalian_down_"+str(i),lpls)src = cv2.imread(r"G:\Juptyer_workspace\study\opencv\opencv3\999.jpg") cv2.imshow("image",src) cv2.namedWindow("image",cv2.WINDOW_AUTOSIZE) lapalian(src) cv2.waitKey(0) cv2.destroyAllWindows()

效果圖如下：

總結

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