为什么matplotlib.pyplot.imsave()和matplotlib.pyplot.imshow()图像质量不同？如何保证同样的质量？
为什么matplotlib.pyplot.imsave()和matplotlib.pyplot.imshow()图像质量不同？如何保证同样的质量？
提问于 2019-01-06 03:53:11
与matplotlib.imsave()相比，似乎matplotlib.imshow()可以减轻图像的亮度。例如，查看下面的代码。
import imageio
import matplotlib.pyplot as plt
image = imageio.imread('image.jpg')
plt.imshow(image)
plt.imsave('image_new.jpg',image )
image_new = imageio.imread('image_new.jpg')
plt.imshow(image_new)保存的图像'image_new.jpg‘(右)略轻于'image.jpg’(左)
image_source：b.jpg
回答 1
Stack Overflow用户
发布于 2022-08-13 22:27:12
我对你的成绩很满意。因此，我尝试使用CV2和matplotlib：
import imageio
import matplotlib.pyplot as plt
import numpy as np
import cv2; import os
p0 = os.getcwd()
image1 = plt.imread(p0+'\\2.jpg')
image = plt.imread(p0+'\\2.jpg')[:,:,0]
plt.subplot(141);plt.imshow(image1 );plt.title('Original image')
plt.imsave('image_plt.jpg',image )
imageio.imsave('image_imageio.jpg', image)
imagecv2 = image
cv2.imwrite('image_cv2.jpg',imagecv2 )
image_new = plt.imread('image_plt.jpg')[:,:,0]
plt.subplot(2,4,2);plt.title('read after save plt')
plt.imshow(image_new,cmap ='gray')
plt.subplot(2,4,6);plt.title('Diff original image with saved plt')
x=np.abs ( image - image_new)
plt.imshow(x,cmap ='gray')
image_cv2 = plt.imread('image_cv2.jpg')[:,: ]
plt.subplot(2,4,3);plt.title('read after save plt')
plt.imshow(image_new,cmap ='gray')
plt.subplot(2,4,7);plt.title('Diff original image with saved CV2')
x=np.abs ( image - image_cv2)
plt.imshow(x,cmap ='gray')
image_imageio = plt.imread('image_imageio.jpg')
plt.subplot(2,4,4);plt.title('read after save imageio')
plt.imshow(image_new,cmap ='gray')
plt.subplot(2,4,8);plt.title('Diff original image with saved imageio')
x=np.abs ( image - image_imageio)
plt.imshow(x,cmap ='gray')
figManager = plt.get_current_fig_manager()
figManager.window.showMaximized()
plt.savefig('diff.jpg')结果：
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/54058499
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