Evolutionary Strategy for Threshold Estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU93407" target="_blank" >RIV/00216305:26220/11:PU93407 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Evolutionary Strategy for Threshold Estimation
Original language description
The paper is aimed at wavelet based medical image de-noising. An experimental approach to the searching for the best noise reduction settings (depth of decomposition and thresholding properties) that leads to objectively the best results is proposed. Searching for the best setting of the noise reduction method is considered as an optimization problem solved by using evolutionary technique. The proposed method was experimentally tested and the resulting noise reduction parameters were found for three different families of wavelet functions (Daubechies, Symlets, Coiflets). De-noised images were compared mutually and also with many common used methods for noise reduction.
Czech name
—
Czech description
—

Project
<a href="/en/project/ME10123" target="_blank" >ME10123: The Research of Algorithms for Processing of Digital Images and Image Sequences</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 13th International Conference on Research in Telecommunication Technologies 2011.
ISBN
978-80-214-4283-2
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
174-178
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Těchov
Event date
Sep 7, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)