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• W2953261605 abstract "A systematic and comprehensive framework for finite impulse response (FIR) lowpass/fullband derivative kernels is introduced in this paper. Closed form solutions of a number of derivative filters are obtained using the maximally flat technique to regulate the Fourier response of undetermined coefficients. The framework includes arbitrary parameter control methods that afford solutions for numerous differential orders, variable polynomial accuracy, centralized/staggered schemes, and arbitrary side-shift nodes for boundary formulation. Using the proposed framework four different derivative matrix operators are introduced and their numerical stability is analyzed by studying their eigenvalues distribution in the complex plane. Their utility is studied by considering two important image processing problems, namely gradient surface reconstruction and image stitching. Experimentation indicates that the new derivative matrices not only outperform commonly used method but provide useful insights to the numerical issues in these two applications." @default.
• W2953261605 created "2019-06-27" @default.
• W2953261605 creator A5059152392 @default.
• W2953261605 creator A5073426758 @default.
• W2953261605 date "2017-09-25" @default.
• W2953261605 modified "2023-09-27" @default.
• W2953261605 title "Finite Differences in Forward and Inverse Imaging Problems--MaxPol Design" @default.
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• W2953261605 hasPublicationYear "2017" @default.
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