diff --git a/06-Image-Thresholding/cv2_thresholding.py b/06-Image-Thresholding/cv2_thresholding.py
index 746947f..fce9689 100644
--- a/06-Image-Thresholding/cv2_thresholding.py
+++ b/06-Image-Thresholding/cv2_thresholding.py
@@ -1,5 +1,7 @@
 import cv2
 import matplotlib.pyplot as plt
+import numpy as np
+
 
 # 灰度图读入
 img = cv2.imread('gradient.jpg', 0)
@@ -30,6 +32,51 @@
 # 自适应阈值对比固定阈值
 img = cv2.imread('sudoku.jpg', 0)
 
+  print("Aligning images ... ")
+  alignMTB = cv2.createAlignMTB()
+  alignMTB.process(images, images)
+  
+  # Obtain Camera Response Function (CRF)
+  print("Calculating Camera Response Function (CRF) ... ")
+  calibrateDebevec = cv2.createCalibrateDebevec()
+  responseDebevec = calibrateDebevec.process(images, times)
+  
+  # Merge images into an HDR linear image
+  print("Merging images into one HDR image ... ")
+  mergeDebevec = cv2.createMergeDebevec()
+  hdrDebevec = mergeDebevec.process(images, times, responseDebevec)
+  # Save HDR image.
+  cv2.imwrite("hdrDebevec.hdr", hdrDebevec)
+  print("saved hdrDebevec.hdr ")
+  
+  # # Tonemap using Drago's method to obtain 24-bit color image
+  print("Tonemaping using Drago's method ... ")
+  tonemapDrago = cv2.createTonemapDrago(1.0, 0.7)
+  ldrDrago = tonemapDrago.process(hdrDebevec)
+  ldrDrago = 3 * ldrDrago
+  cv2.imwrite("ldr-Drago.jpg", ldrDrago * 255)
+  print("saved ldr-Drago.jpg")
+  
+  
+  # # Tonemap using Reinhard's method to obtain 24-bit color image
+  print("Tonemaping using Reinhard's method ... ")
+  tonemapReinhard = cv2.createTonemapReinhard(1.5, 0,0,0)
+  ldrReinhard = tonemapReinhard.process(hdrDebevec)
+  cv2.imwrite("ldr-Reinhard.jpg", ldrReinhard * 255)
+  print("saved ldr-Reinhard.jpg")
+  
+  # # Tonemap using Mantiuk's method to obtain 24-bit color image
+  print("Tonemaping using Mantiuk's method ... ")
+  tonemapMantiuk = cv2.createTonemapMantiuk(2.2,0.85, 1.2)
+  ldrMantiuk = tonemapMantiuk.process(hdrDebevec)
+  ldrMantiuk = 3 * ldrMantiuk
+  cv2.imwrite("ldr-Mantiuk.jpg", ldrMantiuk * 255)
+  print("saved ldr-Mantiuk.jpg")
+
+
+
+
+
 # 固定阈值
 ret, th1 = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)
 # 自适应阈值