Articles liés à Digital filters to remove impulsive artifacts in images...

Digital filters to remove impulsive artifacts in images & videos: Algorithms on image noise removal - Couverture souple

Kishorebabu, Vasanth; Senthil Kumar, V. Jawahar

 
9786139926961: Digital filters to remove impulsive artifacts in images & videos: Algorithms on image noise removal
Couverture souple
ISBN 10 : 6139926963 ISBN 13 : 9786139926961
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

Information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. Image de-noising is an important pre-processing task before further processing of image like segmentation, feature extraction; texture analysis etc., the purpose of de-noising is to remove the noise while retaining detailed features as much as possible. Impulsive noise is generally introduced while transmitting image data over an unsecure communication channel or added while acquiring. The algorithms presented in the study, DNBUTMV and UTMF_AS DET perform better for various impulse noises and their variants in images and videos, as justified by both the qualitative and the quantitative measures. The algorithms can be applied for noise removal algorithm in finger print images, character images, medical images, satellite images and non real time videos.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. Image de-noising is an important pre-processing task before further processing of image like segmentation, feature extraction; texture analysis etc., the purpose of de-noising is to remove the noise while retaining detailed features as much as possible. Impulsive noise is generally introduced while transmitting image data over an unsecure communication channel or added while acquiring. The algorithms presented in the study, DNBUTMV and UTMF_AS DET perform better for various impulse noises and their variants in images and videos, as justified by both the qualitative and the quantitative measures. The algorithms can be applied for noise removal algorithm in finger print images, character images, medical images, satellite images and non real time videos.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
6139926963
ISBN 13 
9786139926961
Reliure
Broché
Nombre de pages
252
Coordonnées du fabricant
non disponible
Personne responsable
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