基于Python二维离散余弦变换（DCT）及其反变换（IDCT）

Question

DCT转换后IDCT出现的不是原图是一张全白图片

import cv2
import numpy as np
import matplotlib.pyplot as plt


try:
    img = cv2.imread(r'C:\Users\www09\Desktop\so\original.png', cv2.IMREAD_COLOR)
    if img is None:
        raise FileNotFoundError('ファイルが見つかりません')

    img = cv2.imread(r'C:\Users\www09\Desktop\so\original.png', cv2.IMREAD_GRAYSCALE)
    cv2.imshow('sample', img)

    img = img.astype('float')
    img = np.float32(img)
    img_dct = cv2.dct(img)
    cv2.imshow('sample01', img_dct)
    img_dct_log = np.log(abs(img_dct))

    img_recor2 = cv2.idct(img_dct)

    cv2.imshow('sample02', img_recor2)


    cv2.waitKey(0)
    cv2.destroyAllwindows()


except FileNotFoundError as e:
    print(e)

Answer 1

img = img.astype('float')
img = np.float32(img)
    这里是不是写的有问题，opencv图像和np操作的数组是不一样的数据结构，建议参考这个博文改一下。
    https://www.cnblogs.com/softec/archive/2010/03/16/1687637.html