如何用PyWavelets读取图片？

Question

我需要使用pyWavelet，也就是pywt来读取我的图像，为它做小波，下面的例子只用来加载相机图像，如何使用我电脑路径中的另一个图像？

import pywt
import pywt.data

# Load image
original = pywt.data.camera()

Answer 1

我不确定您是否可以仅使用pywt读取图像，但您可以使用OpenCV加载图像，然后将其转换为可用于pywt的格式

import cv2
import numpy as np
import pywt

image = cv2.imread('1.png')
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Convert to float for more resolution for use with pywt
image = np.float32(image)
image /= 255

# ...
# Do your processing
# ...

# Convert back to uint8 OpenCV format
image *= 255
image = np.uint8(image)

cv2.imshow('image', image)
cv2.waitKey(0)

Answer 2

OpenCV的另一种选择是scikit image。

import pywt
from skimage import io, color

data = io.imread(filename)

# Process your image
gray = color.rgb2gray(data)
coeffs = pywt.dwt2(gray, 'haar')

# Or... process each channel separately
r, g, b = [c.T for c in data.T]
cr = pywt.dwt2(r, 'haar')
cg = pywt.dwt2(r, 'haar')
cb = pywt.dwt2(r, 'haar')


# output: PIL, matplotlib, dump to file...

Answer 3

您可以使用matplotlib和numpy：

from matplotlib.image import imread
import numpy as np
import pywt
   
A = imread("1.jpg")
original = np.mean(A, -1)
#rest of your codes