def augment(img):
np.seterr(over='ignore')
blockSize = 9
height = len(img)
width = len(img[0])
gimfiltR = 50 # Radius size of guided filter
eps = 10**-3 # Epsilon value of guided filter
Nrer = [0.95, 0.93,
0.85] # Normalized residual energy ratio of G-B-R channels
AtomsphericLight = np.zeros(3)
AtomsphericLight[0] = (
1.13 * np.mean(img[:, :, 0])) + 1.11 * np.std(img[:, :, 0]) - 25.6
AtomsphericLight[1] = (
1.13 * np.mean(img[:, :, 1])) + 1.11 * np.std(img[:, :, 1]) - 25.6
AtomsphericLight[2] = 140 / (
1 + 14.4 * np.exp(-0.034 * np.median(img[:, :, 2])))
AtomsphericLight = np.clip(AtomsphericLight, 5, 250)
transmissionR = getTransmission(img, AtomsphericLight, blockSize)
TM_R_modified = Depth_TM(img, AtomsphericLight)
TM_R_modified_Art = Sat_max(img)
transmissionR_new = np.copy(transmissionR)
for i in range(0, img.shape[0]):
for j in range(0, img.shape[1]):
if (transmissionR_new[i, j] > TM_R_modified[i, j]):
transmissionR_new[i, j] = TM_R_modified[i, j]
if (transmissionR_new[i, j] < TM_R_modified_Art[i, j]):
transmissionR_new[i, j] = TM_R_modified_Art[i, j]
transmissionR_Stretched = stretching(transmissionR_new, height, width)
transmissionB, transmissionG, depth_map = getGBTransmissionESt(
transmissionR_Stretched, AtomsphericLight)
transmission = Refinedtransmission(transmissionB, transmissionG,
transmissionR_Stretched, img)
sceneRadiance = sceneRadianceRGB(img, transmission, AtomsphericLight)
sceneRadiance = OptimalParameter(sceneRadiance)
return sceneRadiance
gimfiltR = 50 # 引导滤波时半径的大小
eps = 10**-3 # 引导滤波时epsilon的值
Nrer = [0.95, 0.93, 0.85]
AtomsphericLight = np.zeros(3)
AtomsphericLight[0] = (
1.13 * np.mean(img[:, :, 0])) + 1.11 * np.std(img[:, :, 0]) - 25.6
AtomsphericLight[1] = (
1.13 * np.mean(img[:, :, 1])) + 1.11 * np.std(img[:, :, 1]) - 25.6
AtomsphericLight[2] = 140 / (
1 + 14.4 * np.exp(-0.034 * np.median(img[:, :, 2])))
AtomsphericLight = np.clip(AtomsphericLight, 5, 250)
print('AtomsphericLight', AtomsphericLight)
# AtomsphericLight = np.array([76, 40, 35])
# print('np.array([76, 40, 35])', AtomsphericLight)
transmissionR = getTransmission(img, AtomsphericLight, blockSize)
TM_R_modified = Depth_TM(img, AtomsphericLight)
TM_R_modified_Art = Sat_max(img)
transmissionR_new = np.copy(transmissionR)
# for i in range(0, img.shape[0]):
# for j in range(0, img.shape[1]):
# if (transmissionR_new[i, j] > TM_R_modified[i, j]):
# transmissionR_new[i, j] = TM_R_modified[i, j]
for i in range(0, img.shape[0]):
for j in range(0, img.shape[1]):
if (transmissionR_new[i, j] > TM_R_modified[i, j]):
transmissionR_new[i, j] = TM_R_modified[i, j]
if (transmissionR_new[i, j] < TM_R_modified_Art[i, j]):
transmissionR_new[i, j] = TM_R_modified_Art[i, j]
transmissionR_Stretched = stretching(transmissionR_new, height, width)