Adaptive Weighted Averaging Filter Using the Appropriate Number of Consecutive Frames

In this paper, we propose a novel adaptive spatiotemporal filter that utilizes image sequences 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 and noise variance in image sequences. It utilizes the Appropriate Number of Consecutive Frames (ANCF) based on the noisy pixels intensity among the frames. The number of consecutive frames is adaptively calculated for each region in image and its value may change from one region to another region depending on the pixels intensity within the region. 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. In addition, the AWA filter using ANCF is particularly well suited for filtering sequences that contain segments with abruptly changing scene content due to, for example, rapid zooming and changes in the view of the camera.

Authors:

• Mahmoud Saeidi
• Ali Nazemipour

Keywords:

• Appropriate Number of Consecutive Frames
• Adaptive Weighted Averaging
• Motion Estimation
• Noise Variance
• Motion Compensation

References:

[1] J. Boyce, " Noise reduction of image sequences using adaptive motion
compensated frame averaging", in IEEE Int. Conf. Acoustics, speech,
signal processing. San Francisco, CA, Mar. 1992, PP.461-464.
[2] M.K. Ozkan, M.I.Sezan, and A.M. Tekalp, "Adaptive motion-
compensated filtering of noisy image sequences", IEEE Trans, circuits
and systems for video Technology, Vol. CSVT-3, PP.277-294,
Aug.1993.
[3] M.I.Sezan, M.K.Ozkan, and S.V.Fogel, "Temporally adaptive filtering
of noisy image sequences using a robust motion estimation algorithm",
in IEEE proc. Int. Conf. Acoustic. Speech, and signal proc., Vol.4,
(Toronto, Canada), PP.2429-2432, May 14-17, 1991.
[4] A.M. Alattar "A probabilistic filter for eliminating temporal noise in
time-varying image sequences" circuits and systems, ISCAS-92,
proceedings, 1992 IEEE International symposium on, volum: 3, 1992
page(s): 1491-1494 Vol.3.
[5] F.Dufaux, F.Moscheni " Motion Estimation Techniques for Digital TV:
A Review and New Contribution " Proceedings of the IEEE, Vol.83,
No.6, June 1995.
[6] Alireza Behrad, Ali Shahrokni, Seyed Ahmad Motamedi, Kurosh
Madani,"A Robust Vision-based Moving Target Detection and Tracking
System", Proceeding of Image and Vision Computing conference
(IVCNZ2001), University of Otego, Dunedin, New Zealand 26th -28th
November 2001.