TY - JOUR
T1 - Multiplierless algorithms for high-speed real-time onboard image processing
AU - Rocha, Kelvin
AU - Venkatachalam, Anand
AU - Bose, Tamal
AU - Haupt, Randy L.
PY - 2002
Y1 - 2002
N2 - This paper presents a new approach for restoring noisy images with a substantial number of missing samples. The system proposed is based on the linear prediction theory. The filters used are multiplierless since they have power-of-2 coefficients. This makes the algorithms fast and low cost for VLSI implementation. The system is composed of two stages. In the first one, the lost samples are recovered using the Least Mean Square (LMS)-like algorithm in which the missing samples are replaced by their estimates. In the second phase, noise is removed from the image using a genetic algorithm based linear predictor. This algorithm yields power-of-2 coefficients of the filter. The results are very promising and illustrate the performance of the multiplierless system.
AB - This paper presents a new approach for restoring noisy images with a substantial number of missing samples. The system proposed is based on the linear prediction theory. The filters used are multiplierless since they have power-of-2 coefficients. This makes the algorithms fast and low cost for VLSI implementation. The system is composed of two stages. In the first one, the lost samples are recovered using the Least Mean Square (LMS)-like algorithm in which the missing samples are replaced by their estimates. In the second phase, noise is removed from the image using a genetic algorithm based linear predictor. This algorithm yields power-of-2 coefficients of the filter. The results are very promising and illustrate the performance of the multiplierless system.
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U2 - 10.1109/AERO.2002.1036901
DO - 10.1109/AERO.2002.1036901
M3 - Article
AN - SCOPUS:84879340867
SN - 1095-323X
VL - 4
SP - 1891
EP - 1898
JO - IEEE Aerospace Conference Proceedings
JF - IEEE Aerospace Conference Proceedings
M1 - 1036901
ER -