A modified GNS map denoising approach for digital images

This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.

Detalles Bibliográficos
Autor principal: Ivy, Sanjida Islam
Otros Autores: Uddin, Dr. Jia
Formato: Tesis
Lenguaje:English
Publicado: BRAC University 2018
Materias:
Acceso en línea:http://hdl.handle.net/10361/9504
id 10361-9504
record_format dspace
spelling 10361-95042022-01-26T10:08:16Z A modified GNS map denoising approach for digital images Ivy, Sanjida Islam Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University GNS PNG JPEG Digital image Map denoising This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (pages 25-27). This paper proposes a new technique of noise reduction for 2D digital images. In the proposed model, for constructing a GNS map using DNS maps of central pixels we measured the intensity similarity between center pixel and its neighboring pixels within a certain window. In the proposed scheme, the intensity similarity is being calculated by using Manhattan distance equations; where the conventional GNS map approach uses Euclidean distance principle. To validate the performance of the proposed model, we consider several attacks on our tested dataset and experimental results demonstrate that the proposed model performs better than the conventional GNS map based denoising technique by exhibiting lower MSE results. Sanjida Islam Ivy B. Computer Science and Engineering  2018-02-18T10:02:56Z 2018-02-18T10:02:56Z 2017 2017-12 Thesis ID 13101292 http://hdl.handle.net/10361/9504 en BRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 27 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic GNS
PNG
JPEG
Digital image
Map denoising
spellingShingle GNS
PNG
JPEG
Digital image
Map denoising
Ivy, Sanjida Islam
A modified GNS map denoising approach for digital images
description This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
author2 Uddin, Dr. Jia
author_facet Uddin, Dr. Jia
Ivy, Sanjida Islam
format Thesis
author Ivy, Sanjida Islam
author_sort Ivy, Sanjida Islam
title A modified GNS map denoising approach for digital images
title_short A modified GNS map denoising approach for digital images
title_full A modified GNS map denoising approach for digital images
title_fullStr A modified GNS map denoising approach for digital images
title_full_unstemmed A modified GNS map denoising approach for digital images
title_sort modified gns map denoising approach for digital images
publisher BRAC University
publishDate 2018
url http://hdl.handle.net/10361/9504
work_keys_str_mv AT ivysanjidaislam amodifiedgnsmapdenoisingapproachfordigitalimages
AT ivysanjidaislam modifiedgnsmapdenoisingapproachfordigitalimages
_version_ 1814307334444285952