Analysis of the quantization noise in discrete wavelet transform filters for image processing

Analysis of the quantization noise in discrete wavelet transform filters for image processing

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In this paper, we analyze the noise quantization effects in coefficients of discrete wavelet transform (DWT) filter banks for image processing. We propose the implementation of the DWT method, making it possible to determine the effective bit-width of the filter banks coefficients at which the quant...

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Dettagli Bibliografici
Autori principali:	Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А.
Natura:	Статья
Lingua:	English
Pubblicazione:	MDPI AG 2018
Soggetti:	Bit-width Digital image processing Discrete wavelet transform Fixed-point numbers Quantization noise
Accesso online:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85051245977&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=North+Caucasus+Federal+University&sid=10b1f77d2c763d6e07c4167e3be12c85&sot=afnl&sdt=cl&cluster=scopubyr%2c%222018%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=5&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/2860
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