Python 对图像应用离散余弦变换
我想对我的图像应用离散余弦变换Python 对图像应用离散余弦变换,python,image-processing,signal-processing,dft,dct,Python,Image Processing,Signal Processing,Dft,Dct,我想对我的图像应用离散余弦变换 import os.path from PIL import Image if __name__ == '__main__': image_counter = 1 while True: if not os.path.isfile('noise_images/' + str (image_counter) + '.png'): break print(image_counter) noise_ima
import os.path
from PIL import Image
if __name__ == '__main__':
image_counter = 1
while True:
if not os.path.isfile('noise_images/' + str (image_counter) + '.png'):
break
print(image_counter)
noise_image_path = 'noise_images/' + str(image_counter) + '.png'
noise_image = Image.open(noise_image_path)
# Apply DCT to an image.
image_counter = image_counter + 1
看看这个
以下是使用此功能的示例代码:
import cv2
from scipy.fftpack import dct
def dct2(block):
return dct(dct(block.T, norm='ortho').T, norm='ortho')
img = cv2.imread(filename)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
dctImage = dct2(img.astype(float))
您可以使用
scipy.fftpack.dct
。更多细节