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运动模糊

import cv2import numpy as npfrom matplotlib import pyplot as pltdef motion_blur(image, degree=50, angle=45):    image = np.array(image)    # 这里生成任意角度的运动模糊kernel的矩阵， degree越大，模糊程度越高    M = cv2.getRotationMatrix2D((degree / 2, degree / 2), angle, 1)    motion_blur_kernel = np.diag(np.ones(degree))    motion_blur_kernel = cv2.warpAffine(motion_blur_kernel, M, (degree, degree))    motion_blur_kernel = motion_blur_kernel / degree    #使用2D卷积    blurred = cv2.filter2D(image, -1, motion_blur_kernel)    # convert to uint8    cv2.normalize(blurred, blurred, 0, 255, cv2.NORM_MINMAX)    blurred = np.array(blurred, dtype=np.uint8)    return blurredimg = cv2.imread('Lighthouse.jpg')res = motion_blur(img)plt.subplot(121),plt.imshow(img),plt.title('original'),plt.xticks([]),plt.yticks([])plt.subplot(122),plt.imshow(res),plt.title('moving'),plt.xticks([]),plt.yticks([])plt.show()

import cv2import numpy as npfrom matplotlib import pyplot as pltimg = cv2.imread('logo.jpg')blur = cv2.blur(img,(5,5))plt.subplot(121),plt.imshow(img),plt.title('original'),plt.xticks([]),plt.yticks([])plt.subplot(122),plt.imshow(blur),plt.title('blured'),plt.xticks([]),plt.yticks([])plt.show()

import cv2import numpy as npfrom matplotlib import pyplot as pltimg = cv2.imread('logo.jpg')blur = cv2.GaussianBlur(img,(5,5),0)plt.subplot(121),plt.imshow(img),plt.title('original'),plt.xticks([]),plt.yticks([])plt.subplot(122),plt.imshow(blur),plt.title('gaussian_blured'),plt.xticks([]),plt.yticks([])plt.show()

import cv2import numpy as npfrom matplotlib import pyplot as pltimg = cv2.imread('logo.jpg')blur = cv2.medianBlur(img,9)plt.subplot(121),plt.imshow(img),plt.title('original'),plt.xticks([]),plt.yticks([])plt.subplot(122),plt.imshow(blur),plt.title('gaussian_blured'),plt.xticks([]),plt.yticks([])plt.show()

import cv2import numpy as npfrom matplotlib import pyplot as pltimg = cv2.imread('Lighthouse.jpg')blur = cv2.bilateralFilter(img,12,75,75)#参数介绍，图像，领域直径，颜色空间的标准方差，坐标空间的标准方差plt.subplot(121),plt.imshow(img),plt.title('original'),plt.xticks([]),plt.yticks([])plt.subplot(122),plt.imshow(blur),plt.title('bilateralFilter'),plt.xticks([]),plt.yticks([])plt.show()

效果不明显，图片不合适

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