Image Sequences Filtering using Adaptive Weighted Averaging Filter without Estimating Noise Variance

M. Saeidi, S.A. Motamedi, A. Behrad, B. Saeidi, Roghayeh Saeidi, and Reza Saeidi (USA)

Keywords

Image Sequences, Adaptive Weighted Averaging, Spatiotemporal Filtering, Noise Variance, Motion Compensation

Abstract

In this paper, we will propose a novel spatiotemporal filter that utilizes consecutive frames in order to remove noise. The consecutive frames include: current, previous and next noisy frames. The filter proposed in this paper is based upon the weighted averaging pixels intensity in image sequences. The weights are determined by a well defined mathematical criterion, which is adaptive to the feature of spatiotemporal pixels of the consecutive frames. It is experimentally shown that the proposed filter can preserve image structures and edges under motion while suppressing noise, and thus can be effectively used in image sequences filtering. Most importantly, our proposed filter is independent of noise variance and only utilizes the intensity of pixels to suppress noise. This is a significant advantage to the other proposed filters in [1], [2], [3] and [4], which most widely make use of noise variance in order to remove noise.

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