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Image denoising using new wavelet thresholding function

Object's details: Image denoising using new wavelet thresholding function

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Structure

Prace Naukowe Instytutu Matematyki i Informatyki=Scientific Research of the Institute of Mathematics and Computer Science.

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Description

Title:
Image denoising using new wavelet thresholding function
Group title:
Journal of Applied Mathematics and Computational Mechanics
Creator:
Dehda Bachir
;
Melkemi Khaled
Subject and Keywords:
wavelet transform
;
image denoising
;
wavelet thresholding
;
wavelet shrinkage rules
;
peak signal to noise ratio (PSNR)
Publisher:
Wydaw. Politechniki Częstochowskiej
Place of publishing:
Częstochowa
Date:
2017
Resource Type:
artykuł
Resource Identifier: oai:reader.digitarium.pcss.pl:454754
Language:
eng
Coverage:
2002-2012
Oryginal in:
Biblioteka Główna Politechniki Częstochowskiej

Object is located in the collections:

Educational materials

Publications of the Participants

Additional information

Creation date: 2021-03-03
Last modification date: 2021-03-03
Content object's number of views: 1
You could also download the object's description in these formats:
RDF
;
OAI-PMH

See also

Three-dimensional octonion wavelet transform

Creator:Katunin Andrzej

Date:2014

Type:czasopismo

A new approach to numerical integration based on Coifman wavelets

Creator:Dehda Bachir

Date:2019

Type:artykuł

Information on financing

The project is co-financed by the European Union from the European Regional Development Fund under the Regional Operational Program of the Silesian Voivodeship for the years 2014 - 2020 Silesian Digitarium. Digitization and access to the resources of cultural institutions of the Silesian Voivodeship.

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