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- W2079476948 abstract "The authors investigated construction of an extended-order statistic filter to remove non-Gaussian white noise added to image signal. First, they devised a differential-order statistic filter using signal-differential ordering instead of a signal-value ordering and estimated its noise reduction performance. Next, they proposed an extended-order statistic filter which unifies the three-order information of time, signal value, and signal differences obtained from a signal within the filter window.Preparing the 3-dimensionalized filter coefficient space and using filter coefficients chosen sequentially in the three different orders among them allow effective noise reduction performance to be obtained. In addition, as a method for resolving a problem on the design method of filter coefficients, investigation was made using a synthesized training sequence. Extracting parameters necessary to a linear AR model from an objective signal, it is shown that the filter design using a training sequence synthesized from it gives noise reduction performance similar to the one at the optimal design." @default.
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- W2079476948 date "1991-01-01" @default.
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- W2079476948 title "Extended-order statistic filter and evaluation of noise reduction performance" @default.
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- W2079476948 doi "https://doi.org/10.1002/ecjc.4430740501" @default.
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