Adaptive Order Spline Interpolation for Edge-Preserving Colour Filter Array Demosaicking

Randhawa, Sharmil; Li, Jim S. Jimmy

doi:10.1109/dicta.2011.118

Cited by 3 publications

(1 citation statement)

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“…On another front, the simulation results from the WT algorithm seemed to be unacceptable under the rationale that Fourier spectral analysis and its derivatives such as WT encountered with a limited time window width by sliding a predetermined window(s) along the time axis [28]. Moreover, there is a trade-off between the time consumed in the window width and the frequency resolution, and this phenomenon has been considered by the uncertainty principle Heisenberg [21].…”

Section: Discussionmentioning

confidence: 99%

Noise Reduction for Nonlinear Nonstationary Time Series Data using Averaging Intrinsic Mode Function

2013

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Abstract:A novel noise filtering algorithm based on averaging Intrinsic Mode Function (aIMF), which is a derivation of Empirical Mode Decomposition (EMD), is proposed to remove white-Gaussian noise of foreign currency exchange rates that are nonlinear nonstationary times series signals. Noise patterns with different amplitudes and frequencies were randomly mixed into the five exchange rates. A number of filters, namely; Extended Kalman Filter (EKF), Wavelet Transform (WT), Particle Filter (PF) and the averaging Intrinsic Mode Function (aIMF) algorithm were used to compare filtering and smoothing performance. The aIMF algorithm demonstrated high noise reduction among the performance of these filters.

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Section: Discussionmentioning

confidence: 99%