VLSI IMPLEMENTATION OF ADAPTIVE KALMAN FILTER FOR VIDEO DENOISING

Binsa Mathew, M Mathurakani

Abstract: Video and image noise filtering is needed in many applications like medical imaging. For real time denoising of video signal ,a 3D spatio-temporal filter is required. Such a filter is complex and cannot be used for real time implementation. A new processing algorithm using adaptive filter is discussed in this paper. Here, the video signals are segmented into independent image sequences in spatial domain. The pixels are processed in temporal domain which reduces the complexity of the design. For this algorithm, the video signal considered should be free of impulsive noises. An adaptive temporal Kalman filter is proposed which can be used for real time implementation for temporal processing of video signals. Adaptation is this algorithm is used for motion estimation of consecutive image sequences. The algorithm proposed is relatively simple, effective and efficient. It is implemented on Xilinx SPARTAN 3

Keywords: Filter, AR model, Adaptive filtering

DOI: https://doi.org/10.15623/ijret.2014.0313007