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41.
  • Baravdish, George, et al. (författare)
  • Extension of p-Laplace Operator for Image Denoising
  • 2016
  • Ingår i: 27th IFIP TC 7 Conference, CSMO 2015, Sophia Antipolis, France, June 29 - July 3, 2015, Revised Selected Papers. - Springer. - 9783319557946 - 9783319557953 ; s. 107-116
  • Bokkapitel (refereegranskat)abstract
    • <p>In this work we introduce a novel operator $$\displaystyle \varDelta _(p,q)$$ as an extended family of operators that generalize the p-Laplace operator. The operator is derived with an emphasis on image processing applications, and particularly, with a focus on image denoising applications. We propose a non-linear transition function, coupling p and q, which yields a non-linear filtering scheme analogous to adaptive spatially dependent total variation and linear filtering. Well-posedness of the final parabolic PDE is established via pertubation theory and connection to classical results in functional analysis. Numerical results demonstrates the applicability of the novel operator $$\displaystyle \varDelta _(p,q)$$ .</p>
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42.
  • Baravdish, George, et al. (författare)
  • Generalizations of <em>p</em>-Laplace operator for image enhancement : Part 2
  • 2020
  • Ingår i: Communications on Pure and Applied Analysis. - American Institute of Mathematical Sciences. - 1534-0392 .- 1553-5258. ; 19:7, s. 3477-3500
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>We have in a previous study introduced a novel elliptic operator Delta((p,q))u = vertical bar del u vertical bar(q) Delta(1)u + (p - 1) vertical bar del u vertical bar(p-2)Delta(infinity) u, p &gt;= 1, q &gt;= 0, as a generalization of the p-Laplace operator. In this paper, we establish the well-posedness of the parabolic equation u(t) =vertical bar del u vertical bar(1-q) Delta((1+q,q)), where q = q(vertical bar del u vertical bar) is continuous and has range in [0, 1], in the framework of viscosity solutions. We prove the consistency and convergence of the numerical scheme of finite differences of this parabolic equation. Numerical simulations shows the advantage of this operator applied to image enhancement.</p>
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43.
  • Baravdish, George, et al. (författare)
  • GENERALIZATIONS OF p-LAPLACE OPERATOR FOR IMAGE ENHANCEMENT: PART 2
  • 2020
  • Ingår i: Communications on Pure and Applied Analysis. - AMER INST MATHEMATICAL SCIENCES-AIMS. - 1534-0392 .- 1553-5258. ; 19:7, s. 3477-3500
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>We have in a previous study introduced a novel elliptic operator Delta((p,q))u = vertical bar del u vertical bar(q) Delta(1)u + (p - 1) vertical bar del u vertical bar(p-2)Delta(infinity) u, p &amp;gt;= 1, q &amp;gt;= 0, as a generalization of the p-Laplace operator. In this paper, we establish the well-posedness of the parabolic equation u(t) =vertical bar del u vertical bar(1-q) Delta((1+q,q)), where q = q(vertical bar del u vertical bar) is continuous and has range in [0, 1], in the framework of viscosity solutions. We prove the consistency and convergence of the numerical scheme of finite differences of this parabolic equation. Numerical simulations shows the advantage of this operator applied to image enhancement.</p>
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44.
  • Baravdish, George, et al. (författare)
  • On Backward <em>p</em>(<em>x</em>)-Parabolic Equations for Image Enhancement
  • 2015
  • Ingår i: VIDI. - Taylor & Francis.
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>In this study, we investigate the backward <em>p</em>(<em>x</em>)-parabolic equation as a new methodology to enhance images. We propose a novel iterative regularization procedure for the backward <em>p</em>(<em>x</em>)-parabolic equation based on the nonlinear Landweber method for inverse problems. The proposed scheme can also be extended to the family of iterative regularization methods involving the nonlinear Landweber method. We also investigate the connection between the variable exponent <em>p</em>(<em>x</em>) in the proposed energy functional and the diffusivity function in the corresponding Euler-Lagrange equation. It is well known that the forward problems converges to a constant solution destroying the image. The purpose of the approach of the backward problems is twofold. First, solving the backward problem by a sequence of forward problems we obtain a smooth image which is denoised. Second, by choosing the initial data properly we try to reduce the blurriness of the image. The numerical results for denoising appear to give improvement over standard methods as shown by preliminary results.</p>
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45.
  • Baravdish, George, et al. (författare)
  • PDE-SVD Based Audio Denoising
  • 2012
  • Ingår i: Proceedings of the 5th International Symposium on Communications Control and Signal Processing (ISCCSP), 2012. - Piscataway, NJ, USA : IEEE. - 978-1-4673-0274-6 ; s. 1-6
  • Konferensbidrag (refereegranskat)abstract
    • <p>In this paper we present a new method for denoising audio signals. The method is based on the Singular Value Decomposition (SVD) of the frame matrix representing the signal inthe Overlap Add decomposition. Denoising is performed by modifying both the singular values, using a tapering model, and the singular vectors of the representation, using a nonlinear PDE method. The performance of the method is evaluated and compared with denoising obtained by filtering.</p>
46.
  • Berggren, Magnus, et al. (författare)
  • PEDOT : PSS-Based Electrochemical Transistors for Ion-to-Electron Transduction and Sensor Signal Amplification
  • 2008
  • Ingår i: Organic Semiconductors in Sensor Applications. - 1. - Springer. - 978-3-540-76314-7 - 978-3-540-76313-0 - 978-3-642-09517-7 ; s. 263-280
  • Bokkapitel (övrigt vetenskapligt)abstract
    • <p>The chapter reports the use of organic electrochemical transistors in sensor applications. These transistors are excellent ion-to-electron transducers and can serve as very sensitive transducers in amperometric sensor applications. To further improve their sensitivity, we outline various amplification circuits all realized in organic electrochemical transistors.</p>
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47.
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48.
  • Berntsson Svensson, Richard, 1978-, et al. (författare)
  • BAM - Backlog Assessment Method
  • 2019
  • Ingår i: Proceedings of the 20th International Conference on Agile Software Development (XP). XP 2019: Agile Processes in Software Engineering and Extreme Programming. - Springer. - 1865-1348. - 978-3-030-19033-0
  • Konferensbidrag (refereegranskat)abstract
    • The necessity of software as stand-alone products, and as central parts of non-traditional software products have changed how soft- ware products are developed. It started with the introduction of the agile manifesto and has resulted in a change of how software process improve- ments (SPI) are conducted. Although there are agile SPI methods and several agile practices for evaluating and improving current processes and ways-of-working, no method or practices for evaluating the backlog exists. To address this gap, the Backlog Assessment Method (BAM) was developed and applied in collaboration with Telenor Sweden. BAM en- ables agile organizations to assess backlogs, and assure that the backlog items are good-enough for their needs and well aligned with the deci- sion process. The results from the validation show that BAM is feasible and relevant in an industrial environment, and it indicates that BAM is useful as a tool to perform analysis of items in a specific backlog.
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49.
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50.
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