DocumentCode :
2717957
Title :
FPGA implementation of adaptive temporal Kalman filter for real time video filtering
Author :
Turney, Robert D. ; Reza, Ali M. ; Delva, Justin G R
Author_Institution :
CORE Solutions Group, Xilinx Inc., San Jose, CA, USA
Volume :
4
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
2231
Abstract :
Filtering noise in real-time image sequences is required in some applications like medical imaging. The optimum approach in this case is in the form of adaptive 3-D spatial-temporal filter, which is generally very complex and prohibitive for real-time implementation. Independent processing of the image sequences, in spatial and temporal domains can resolve some of these implementation difficulties. Some of the existing spatial filters can easily be modified for real-time implementation. Adaptive temporal filters, however, are more involved. In this paper, an adaptive temporal filter is proposed that lend itself to hardware implementation for real-time temporal processing of image sequences. The proposed algorithm is based on adaptive Kalman filtering which is relatively simple and effective in its performance. Adaptation in this case is with respect to motion in the image sequence as well as variation of noise statistics. An efficient hardware implementation of this algorithm, based on FPGA technology, is proposed
Keywords :
adaptive Kalman filters; field programmable gate arrays; image sequences; noise; real-time systems; video signal processing; FPGA implementation; adaptive temporal Kalman filter; efficient hardware implementation; image sequences; medical imaging; noise statistics; real time video filtering; Adaptive filters; Biomedical imaging; Field programmable gate arrays; Filtering algorithms; Hardware; Image resolution; Image sequences; Kalman filters; Spatial filters; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.758380
Filename :
758380
Link To Document :
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