TY - GEN
T1 - LOW SNR MULTIFRAME REGISTRATION FOR CUBESATS
AU - Widloski, Evan
AU - Kamalabadi, Farzad
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - We present a registration algorithm which jointly estimates motion and the ground truth image from a set of noisy frames under rigid, constant translation. The algorithm is non-iterative and needs no hyperparameter tuning. It requires a fixed number of FFT, multiplication, and downsampling operations for a given input size, enabling fast implementation on embedded platforms like cubesats where on-board image fusion can greatly save on limited downlink bandwidth. The algorithm is optimal in the maximum likelihood sense for additive white Gaussian noise and non-stationary Gaussian approximations of Poisson noise. Accurate registration is achieved for very low SNR, even when visible features are below the noise floor.
AB - We present a registration algorithm which jointly estimates motion and the ground truth image from a set of noisy frames under rigid, constant translation. The algorithm is non-iterative and needs no hyperparameter tuning. It requires a fixed number of FFT, multiplication, and downsampling operations for a given input size, enabling fast implementation on embedded platforms like cubesats where on-board image fusion can greatly save on limited downlink bandwidth. The algorithm is optimal in the maximum likelihood sense for additive white Gaussian noise and non-stationary Gaussian approximations of Poisson noise. Accurate registration is achieved for very low SNR, even when visible features are below the noise floor.
KW - embedded signal processing
KW - image registration
KW - low SNR
KW - maximum likelihood
KW - motion estimation
UR - http://www.scopus.com/inward/record.url?scp=85146734184&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146734184&partnerID=8YFLogxK
U2 - 10.1109/ICIP46576.2022.9897545
DO - 10.1109/ICIP46576.2022.9897545
M3 - Conference contribution
AN - SCOPUS:85146734184
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3773
EP - 3777
BT - 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings
PB - IEEE Computer Society
T2 - 29th IEEE International Conference on Image Processing, ICIP 2022
Y2 - 16 October 2022 through 19 October 2022
ER -