About: Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising     Goto   Sponge   NotDistinct   Permalink

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  • This paper deals with image denoising based on the wavelet transform realized by Mallat algorithm and À trous algorithm. The effectiveness of global and subband thresholding techniques are studied on multimedia and astronomical images contaminated by Gaussian noise. Experimental results on several testing images are compared with each other from two objective quality aspects (PSNR, RMSE). Astronomical image denoising techniques differ from those used for multimedia images, because astronomical data are processed by computers and are not evaluated by humans. Thus we show especially the difference between quality criteria related with both types of images after denoising. In case of astronomical data, important scientific criteria as stellar magnitude and FWHM (Full Width at Half Maximum) changes are studied in processed images after noise removal.
  • This paper deals with image denoising based on the wavelet transform realized by Mallat algorithm and À trous algorithm. The effectiveness of global and subband thresholding techniques are studied on multimedia and astronomical images contaminated by Gaussian noise. Experimental results on several testing images are compared with each other from two objective quality aspects (PSNR, RMSE). Astronomical image denoising techniques differ from those used for multimedia images, because astronomical data are processed by computers and are not evaluated by humans. Thus we show especially the difference between quality criteria related with both types of images after denoising. In case of astronomical data, important scientific criteria as stellar magnitude and FWHM (Full Width at Half Maximum) changes are studied in processed images after noise removal. (en)
Title
  • Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising
  • Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising (en)
skos:prefLabel
  • Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising
  • Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising (en)
skos:notation
  • RIV/68407700:21230/13:00206928!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA205/09/1302), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 72056
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00206928
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • wavelet transform; global and subband thresholding; mallat algorithm; a trous; astronomical images (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [22D7FCDB655D]
http://linked.open...v/mistoKonaniAkce
  • Plzeň
http://linked.open...i/riv/mistoVydani
  • Pilsen
http://linked.open...i/riv/nazevZdroje
  • 18th 2013 International Conference on Applied Electronics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bednář, Jan
  • Anisimova, Elena
  • Páta, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1803-7232
number of pages
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  • Západočeská univerzita v Plzni
https://schema.org/isbn
  • 978-80-261-0166-6
http://localhost/t...ganizacniJednotka
  • 21230
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