High Speed Kalman Filtering For Image Restoration

Jin Yun Zhang; Willem Steenaart

doi:10.1117/12.970025

1 November 1989 High Speed Kalman Filtering For Image Restoration

Jin Yun Zhang, Willem Steenaart

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970025
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

In this paper a fast Kalman filter is developed for digital image restoration. Optimal restoration schemes for two-dimensional images degraded by both blur and noise create dimensionality problems which, in turn, lead to intensive computation. When the original image model and the degradation model are both represented by Roesser's 2-D SISO state-space models, a simple composite dynamic structure based on a cascade technique is obtained. From this composite model, the Kalman filtering equations are established by defining a proper state vector. The speed of the recursive estimation procedure can be improved by processing the image along the diagonal direction. Furthermore, a dedicated VLSI array processor for high speed processing is proposed.

Citation Download Citation

Jin Yun Zhang and Willem Steenaart "High Speed Kalman Filtering For Image Restoration", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970025

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