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

|----------|-------|-------|
| | 2x2 | 3x3 |
| CUBIC | 2.14 | 3.83 |
| LANCZOS4 | 10.42 | 20.89 |

1920x1080

|----------|-------|-------|
| | 2x2 | 3x3 |
| CUBIC | 4.44 | 14.00 |
| LANCZOS4 | 24.24 | 50.56 |