Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00206928" target="_blank" >RIV/68407700:21230/13:00206928 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising

Popis výsledku v původním jazyce

This paper deals with image denoising based on the wavelet transform realized by Mallat algorithm and ? 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 areprocessed 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.

Název v anglickém jazyce

Efficiency of Wavelet Coefficients Thresholding Techniques used for Multimedia and Astronomical Image Denoising

Popis výsledku anglicky

This paper deals with image denoising based on the wavelet transform realized by Mallat algorithm and ? 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 areprocessed 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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA205%2F09%2F1302" target="_blank" >GA205/09/1302: Studium sporadických meteorů a slabých meteorických rojů s využitím automatických videokamer</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

18th 2013 International Conference on Applied Electronics

ISBN

978-80-261-0166-6

ISSN

1803-7232

e-ISSN

—

Počet stran výsledku

4

Strana od-do

25-28

Název nakladatele

University of West Bohemia

Místo vydání

Pilsen

Místo konání akce

Plzeň

Datum konání akce

10. 9. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—