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shayaf84/interpFunction.py

Last active November 20, 2021 16:07
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interpFunction.py
def interpolation(baseline, image, alpha):
#Interpolates images by computing the difference between its pixel values
#and the baseline (all zeroes)
#From there, construct a new tensor containing the baseline and interpolated
#images, which are the picture values multiplied by the linear relationship.
alphaTensor = alpha[:, tf.newaxis, tf.newaxis, tf.newaxis]
baselineTensor = tf.expand_dims(baseline, axis=0)
inputTensor = tf.expand_dims(image, axis=0)
diff = inputTensor - baselineTensor
images = baselineTensor + alphaTensor * diff
return images
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