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Extra info for Advanced Concepts for Intelligent Vision Systems: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006. Proceedings
The weights are derived both for spatial and frequency domain blur invariants. The experiments conﬁrmed that the invariants perform much better when the noise is taken into account. However, the border eﬀect of the blur still remains a problem. The rest of this paper is organized as follows. In Sect. 2, after an introduction of the blur invariant features, the method for estimation of the weight factors is proposed. Then in Sect. 3, the framework for concealment of motion blur in image sequences is presented.
A small ws,d (i, j) but a large neighbourhood) we should conclude that the position (i, j) is a signal of interest, in spite of the fact that the coeﬃcient is probably lower than the given threshold. This leads us to the Fuzzy Rule 1 introduced below, where the variable xs,d (i, j) represents the average of the wavelet coeﬃcients in the (2K + 1) × (2K + 1) neighbourhood around a given position (i, j). This variable indicates if the corresponding neighbourhood contains mainly large or small wavelet coeﬃcients.
H. Schwarz, D. Marpe, and T. 264/AVC, Proc. of PCS 2004, San Francisco, CA,USA, Dec. 2004. 5. 0 Software, ISO/IEC JTC1/ SC29/ WG11 N6717, October 2004. 6. Joint Video Team (JVT) of ISO/IEC MPEG & ITU-T VCEG, ‘Joint Scalable Video Model JSVM-2’, JVT-O202, Busan, Korea, April, 2005 A New Fuzzy-Based Wavelet Shrinkage Image Denoising Technique Stefan Schulte1 , Bruno Huysmans2 , Aleksandra Piˇzurica2, , Etienne E. Kerre1 , and Wilfried Philips2 1 Ghent University, Department of Applied Mathematics and Computer Science, Krijgslaan 281 (Building S9), 9000 Gent, Belgium 2 Ghent University, Dept.