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- W2028404549 abstract "Quantization noise is present in all the current digital imaging systems, therefore its understanding and modelingis crucial for optimization of image reconstruction techniques. Hence, this paper deals with modeling of thequantization noise. We exploit the undecimated wavelet transform (UWT) for signal representation. We assumethat the quantization noise in the spatial domain can be seen as additive, white and uniformly distributed. Hence,the UWT causes the transform of noise distribution due to weighted sum of noise samples and filter coefficients.From the known quantization step we are able to estimate suitable moments of noise uniform probability densityfunction (PDF). These moments then could be directly evaluated in the undecimated wavelet domain using thederived equations. The presented algorithm gives the a priori information about the quantization noise and canbe used for the suppression of it." @default.
- W2028404549 created "2016-06-24" @default.
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- W2028404549 date "2013-09-26" @default.
- W2028404549 modified "2023-09-23" @default.
- W2028404549 title "Modeling of quantization noise in linear analog-to-digital converter" @default.
- W2028404549 doi "https://doi.org/10.1117/12.2023048" @default.
- W2028404549 hasPublicationYear "2013" @default.
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