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Image to convert in HDR #18

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Image to convert in HDR #18

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47 changes: 47 additions & 0 deletions 06-Image-Thresholding/cv2_thresholding.py
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Original file line number Diff line number Diff line change
@@ -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)
Expand Down Expand Up @@ -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
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