@article{chan1993maximum,
abstract = {In this paper, we develop an algorithm for obtain- ing the maximum likelihood (ML) estimate of the displacement vector field (DVF) from two consecutive image frames of an image sequence acquired under quantum-limited conditions. The estimation of the DVF has applications in temporal filtering, object tracking, stereo matching, and frame registration in low-light level image sequences as well as low-dose clinical x-ray image sequences. In the latter case, a controlled x-ray dosage reduction may be utilized to lower the radiation exposure to the patient and the medical staff. The quantum-limited effect is modeled as an undesirable, Poisson-distributed, signal-dependent noise artifact. A Fisher-Bayesian formulation is used in this paper to estimate the DVF and a block component search algorithm is employed in obtaining the solution. Several experiments involving a phantom sequence and a teleconferencing image sequence with realistic motion demonstrate the effectiveness of this estimator in obtaining the DVF under severe quantum noise conditions (20-25 events/pixel). {\textcopyright} 1995 IEEE.},
author = {Chan, C.L. and Katsaggelos, A.K.},
doi = {10.1109/83.388077},
institution = {SPIE},
issn = {10577149},
journal = {IEEE Transactions on Image Processing},
month = {jun},
number = {6},
pages = {743--751},
title = {{Iterative maximum likelihood displacement field estimation in quantum-limited image sequences}},
url = {http://ieeexplore.ieee.org/document/388077/},
volume = {4},
year = {1995}
}

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