Image Zooming Using Inverse Slantlet Transform

Digital image is widely used in computer applications. This paper introduces a proposed method of image zooming based upon inverse slantlet transform and image scaling. Slantlet transform (SLT) is based on the principle of designing different filters for different scales.       First we apply SL...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Ahlam Hanoon
Formato: article
Lenguaje:EN
Publicado: Al-Khwarizmi College of Engineering – University of Baghdad 2009
Materias:
Acceso en línea:https://doaj.org/article/98483543ca304a06ba7c0dcc2ed400d8
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:98483543ca304a06ba7c0dcc2ed400d8
record_format dspace
spelling oai:doaj.org-article:98483543ca304a06ba7c0dcc2ed400d82021-12-02T05:40:29ZImage Zooming Using Inverse Slantlet Transform1818-11712312-0789https://doaj.org/article/98483543ca304a06ba7c0dcc2ed400d82009-06-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/559https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Digital image is widely used in computer applications. This paper introduces a proposed method of image zooming based upon inverse slantlet transform and image scaling. Slantlet transform (SLT) is based on the principle of designing different filters for different scales.       First we apply SLT on color image, the idea of transform color image into slant, where large coefficients are mainly the   signal and smaller one represent the noise. By suitably modifying these coefficients , using scaling up image by  box and Bartlett filters so that the image scales up to 2X2 and then inverse slantlet transform from modifying coefficients using to the reconstructed image .       From the simulation result, it has been found that the reconstructed image is 2X2 larger than the image that found from the inverse without scaling up the coefficients.       Comparison of image zooming using inverses SLT by box and Bartlett filters, found that, because of the linear interpolation done by using Bartlett the image appears to be smoother than the image obtained using a box filter.       The performance of these techniques (image zooming using inverse SLT) has been evaluated by computer programs with MATLAB 7.04 (R2007a) language. Ahlam HanoonAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 5, Iss 2 (2009)
institution DOAJ
collection DOAJ
language EN
topic Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
Ahlam Hanoon
Image Zooming Using Inverse Slantlet Transform
description Digital image is widely used in computer applications. This paper introduces a proposed method of image zooming based upon inverse slantlet transform and image scaling. Slantlet transform (SLT) is based on the principle of designing different filters for different scales.       First we apply SLT on color image, the idea of transform color image into slant, where large coefficients are mainly the   signal and smaller one represent the noise. By suitably modifying these coefficients , using scaling up image by  box and Bartlett filters so that the image scales up to 2X2 and then inverse slantlet transform from modifying coefficients using to the reconstructed image .       From the simulation result, it has been found that the reconstructed image is 2X2 larger than the image that found from the inverse without scaling up the coefficients.       Comparison of image zooming using inverses SLT by box and Bartlett filters, found that, because of the linear interpolation done by using Bartlett the image appears to be smoother than the image obtained using a box filter.       The performance of these techniques (image zooming using inverse SLT) has been evaluated by computer programs with MATLAB 7.04 (R2007a) language.
format article
author Ahlam Hanoon
author_facet Ahlam Hanoon
author_sort Ahlam Hanoon
title Image Zooming Using Inverse Slantlet Transform
title_short Image Zooming Using Inverse Slantlet Transform
title_full Image Zooming Using Inverse Slantlet Transform
title_fullStr Image Zooming Using Inverse Slantlet Transform
title_full_unstemmed Image Zooming Using Inverse Slantlet Transform
title_sort image zooming using inverse slantlet transform
publisher Al-Khwarizmi College of Engineering – University of Baghdad
publishDate 2009
url https://doaj.org/article/98483543ca304a06ba7c0dcc2ed400d8
work_keys_str_mv AT ahlamhanoon imagezoomingusinginverseslantlettransform
_version_ 1718400311689740288