Created
October 20, 2019 17:07
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TPS Color Warping
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import numpy as np | |
def TPS_color_correction(input_color,actual_color,reference): | |
NPs = actual.shape[0] | |
NPg = reference.shape[0] | |
Xp = actual[:, 0].conj().transpose() | |
Yp = actual[:, 1].conj().transpose() | |
Zp = actual[:, 2].conj().transpose() | |
Xg = reference[:, 0].conj().transpose() | |
Yg = reference[:, 1].conj().transpose() | |
Zg = reference[:, 2].conj().transpose() | |
rXp = np.tile(Xp.reshape(NPs, 1), (1, NPs)) | |
rYp = np.tile(Yp.reshape(NPs, 1), (1, NPs)) | |
rZp = np.tile(Zp.reshape(NPs, 1), (1, NPs)) | |
wR=np.sqrt(((rXp - rXp.conj().transpose()) ** 2 + (rYp - rYp.conj().transpose()) ** 2 + (rZp - rZp.conj().transpose()) ** 2)) | |
wK = (2 * (wR ** 2)) * np.log(wR + 1e-20) | |
wP = np.hstack((np.ones((NPs, 1)), Xp.reshape(NPs, 1), Yp.reshape(NPs, 1), Zp.reshape(NPs, 1))) | |
wL = np.vstack((np.hstack((wK, wP)),np.hstack((wP.conj().transpose(), np.zeros((4,4)))))) | |
wY = np.vstack((np.hstack((Xg.reshape(NPg, 1), Yg.reshape(NPg, 1), Zg.reshape(NPg, 1))),np.zeros((4, 3)))) | |
inv_wl=np.linalg.inv(wL) | |
wW = np.dot(inv_wl, wY) | |
X = input_color[:, 0].conj().transpose() | |
Y = input_color[:, 1].conj().transpose() | |
Z = input_color[:, 2].conj().transpose() | |
NPss=input_color.shape[0] | |
NWs = np.size(X, axis=0) | |
rX = np.tile(X, (NPss,1)) | |
rY = np.tile(Y, (NPss,1)) | |
rZ = np.tile(Z, (NPss,1)) | |
rXp = np.tile(Xp.reshape(NPs, 1), (1,NWs)) | |
rYp = np.tile(Yp.reshape(NPs, 1), (1,NWs)) | |
rZp = np.tile(Zp.reshape(NPs, 1), (1,NWs)) | |
wR = np.sqrt((rXp - rX)**2 + (rYp - rY)**2 + (rZp - rZ)** 2) | |
wK = (2 * (wR ** 2)) * np.log(wR + 1e-20) | |
wP = np.hstack((np.ones((NWs, 1)), X.reshape(NPss,1), Y.reshape(NPss,1), Z.reshape(NPss,1))).conj().transpose() | |
wL = np.vstack((wK,wP)).conj().transpose() | |
Xw = np.dot(wL,wW[:, 0]) | |
Yw = np.dot(wL,wW[:, 1]) | |
Zw = np.dot(wL,wW[:, 2]) | |
return np.hstack((Xw.reshape(NPss,1), Yw.reshape(NPss,1), Zw.reshape(NPss,1))) |
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