Union is strength in lossy image compression

In this work, we present a comparison between different techniques of image compression. First, the image is divided in blocks which are organized according to a certain scan. Later, several compression techniques are applied, combined or alone. Such techniques are: wavelets (Haar's basis), Kar...

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Detalles Bibliográficos
Autor principal: Mastriani, Mario
Publicado: 2009
Materias:
Haar's basis
Image compression
Karhunen-Loève transform
Morton's scan
Row-rafter scan
Compression techniques
Lossy image compression
Mean squared error
Peak signal to noise ratio
Engineering
Technology
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2010376X_v35_n_p704_Mastriani
http://hdl.handle.net/20.500.12110/paper_2010376X_v35_n_p704_Mastriani
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_2010376X_v35_n_p704_Mastriani
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spelling paper:paper_2010376X_v35_n_p704_Mastriani2023-06-08T16:32:57Z Union is strength in lossy image compression Mastriani, Mario Haar's basis Image compression Karhunen-Loève transform Morton's scan Row-rafter scan Compression techniques Haar's basis Lossy image compression Mean squared error Morton's scan Peak signal to noise ratio Row-rafter scan Engineering Technology Image compression In this work, we present a comparison between different techniques of image compression. First, the image is divided in blocks which are organized according to a certain scan. Later, several compression techniques are applied, combined or alone. Such techniques are: wavelets (Haar's basis), Karhunen-Loève Transform, etc. Simulations show that the combined versions are the best, with minor Mean Squared Error (MSE), and higher Peak Signal to Noise Ratio (PSNR) and better image quality, even in the presence of noise. Fil:Mastriani, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2009 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2010376X_v35_n_p704_Mastriani http://hdl.handle.net/20.500.12110/paper_2010376X_v35_n_p704_Mastriani
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Haar's basis
Image compression
Karhunen-Loève transform
Morton's scan
Row-rafter scan
Compression techniques
Haar's basis
Lossy image compression
Mean squared error
Morton's scan
Peak signal to noise ratio
Row-rafter scan
Engineering
Technology
Image compression
spellingShingle Haar's basis
Image compression
Karhunen-Loève transform
Morton's scan
Row-rafter scan
Compression techniques
Haar's basis
Lossy image compression
Mean squared error
Morton's scan
Peak signal to noise ratio
Row-rafter scan
Engineering
Technology
Image compression
Mastriani, Mario
Union is strength in lossy image compression
topic_facet Haar's basis
Image compression
Karhunen-Loève transform
Morton's scan
Row-rafter scan
Compression techniques
Haar's basis
Lossy image compression
Mean squared error
Morton's scan
Peak signal to noise ratio
Row-rafter scan
Engineering
Technology
Image compression
description In this work, we present a comparison between different techniques of image compression. First, the image is divided in blocks which are organized according to a certain scan. Later, several compression techniques are applied, combined or alone. Such techniques are: wavelets (Haar's basis), Karhunen-Loève Transform, etc. Simulations show that the combined versions are the best, with minor Mean Squared Error (MSE), and higher Peak Signal to Noise Ratio (PSNR) and better image quality, even in the presence of noise.
author Mastriani, Mario
author_facet Mastriani, Mario
author_sort Mastriani, Mario
title Union is strength in lossy image compression
title_short Union is strength in lossy image compression
title_full Union is strength in lossy image compression
title_fullStr Union is strength in lossy image compression
title_full_unstemmed Union is strength in lossy image compression
title_sort union is strength in lossy image compression
publishDate 2009
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2010376X_v35_n_p704_Mastriani
http://hdl.handle.net/20.500.12110/paper_2010376X_v35_n_p704_Mastriani
work_keys_str_mv AT mastrianimario unionisstrengthinlossyimagecompression
_version_ 1768543821873807360

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