OpenCV：超分辨率、超采样及测试性能

• 代码

import cv2 import numpy as np import time def super_sample(file, scale, count): print print(file, scale, count) # 读取图像 img = cv2.imread(file) start_time = time.time() for index in range(count): # 双三次插值 bicubic = cv2.resize(img, None, fx=scale, fy=scale, interpolation=cv2.INTER_CUBIC) print('CUBIC cost time: %.2f ms' % ((time.time()-start_time)*1000/count)) # cv2.imwrite('cv2-CUBIC.jpg', bicubic) start_time = time.time() for index in range(count): # Lanczos插值 lanczos = cv2.resize(img, None, fx=scale, fy=scale, interpolation=cv2.INTER_LANCZOS4) print('LANCZOS4 cost time: %.2f ms' % ((time.time()-start_time)*1000/count)) # cv2.imwrite('cv2-LANCZOS4.jpg', lanczos) count = 1000 file1 = '1280x720.png' super_sample(file1, 2, count) super_sample(file1, 3, count) file2 = '1920x1080.png' super_sample(file2, 2, count) super_sample(file2, 3, count)

• 测试结果

在虚拟机中测试的。

1280x720

1920x1080