拉普拉斯金字塔

裴来凡

发布于 2022-05-28 17:13:26

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发布于 2022-05-28 17:13:26

import cv2
#定义高斯金字塔函数
def gaussian_pyramid(image):
    level=3#高斯金字塔层数
    temp=image.copy()
    gaussian_images=[]
    for i in range(level):
        dst=cv2.pyrDown(temp)#图像进行向下采样
        gaussian_images.append(dst)
        temp=dst.copy()
    return gaussian_images
#定义拉普拉斯金字塔函数
def laplacian_pyramid(image):
    gaussian_images=gaussian_pyramid(image)#高斯金字塔
    level=len(gaussian_images)
    for i in range(level-1,-1,-1):
        if (i-1)<0:
            expand=cv2.pyrUp(gaussian_images[i],dstsize=image.shape[:2])
            laplacian=cv2.subtract(image,expand)#图像差值
            cv2.imshow("laplacian_down_"+str(i),laplacian)
        else:
            expand=cv2.pyrUp(gaussian_images[i],dstsize=gaussian_images[i-1].shape[:2])#图像进行向上采样
            laplacian=cv2.subtract(gaussian_images[i-1],expand)#图像差值
            cv2.imshow("laplacian_down_"+str(i),laplacian)
img=cv2.imread('C:/Users/xpp/Desktop/Lena.png')
cv2.namedWindow('input_image',cv2.WINDOW_AUTOSIZE)
cv2.imshow('input_image',img)
laplacian_pyramid(img)
cv2.waitKey(0)
cv2.destroyAllWindows()