Uniform and Non-Uniform Image Enlargement Based on the Window Kernel
Several different of image resizing methods have been proposed. However, resizing image in different ratio produces non proportional feature image enlarged and the enlarged image in different ratio with retaining the salient content is limited. This paper proposes an image enlargement method with ed...
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2018-01-01
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Series: | MATEC Web of Conferences |
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Online Access: | https://doi.org/10.1051/matecconf/201816401014 |
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doaj-1fe6ee4561514509a6b2124181dd54532021-02-02T06:07:57ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011640101410.1051/matecconf/201816401014matecconf_icesti2018_01014Uniform and Non-Uniform Image Enlargement Based on the Window KernelSomawirata I KomangPrio Hartono BambangHerbasuki TeguhSoetedjo AryuatoSeveral different of image resizing methods have been proposed. However, resizing image in different ratio produces non proportional feature image enlarged and the enlarged image in different ratio with retaining the salient content is limited. This paper proposes an image enlargement method with edge improvement and inpainting method. This method consists of two steps. First, the image enlargement method is used for enlarging an image to the minimum size of the target image. Second, image inpainting method is used for obtaining the full-size image. We have evaluated the proposed method for enlarging an image uniformly and it compares with the typical of image enlargement methods. The uniform image enlarged and image enlarged in different ratio using the proposed method have been presented.https://doi.org/10.1051/matecconf/201816401014Image enlargementInpaintingWindow kernel |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Somawirata I Komang Prio Hartono Bambang Herbasuki Teguh Soetedjo Aryuato |
spellingShingle |
Somawirata I Komang Prio Hartono Bambang Herbasuki Teguh Soetedjo Aryuato Uniform and Non-Uniform Image Enlargement Based on the Window Kernel MATEC Web of Conferences Image enlargement Inpainting Window kernel |
author_facet |
Somawirata I Komang Prio Hartono Bambang Herbasuki Teguh Soetedjo Aryuato |
author_sort |
Somawirata I Komang |
title |
Uniform and Non-Uniform Image Enlargement Based on the Window Kernel |
title_short |
Uniform and Non-Uniform Image Enlargement Based on the Window Kernel |
title_full |
Uniform and Non-Uniform Image Enlargement Based on the Window Kernel |
title_fullStr |
Uniform and Non-Uniform Image Enlargement Based on the Window Kernel |
title_full_unstemmed |
Uniform and Non-Uniform Image Enlargement Based on the Window Kernel |
title_sort |
uniform and non-uniform image enlargement based on the window kernel |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
Several different of image resizing methods have been proposed. However, resizing image in different ratio produces non proportional feature image enlarged and the enlarged image in different ratio with retaining the salient content is limited. This paper proposes an image enlargement method with edge improvement and inpainting method. This method consists of two steps. First, the image enlargement method is used for enlarging an image to the minimum size of the target image. Second, image inpainting method is used for obtaining the full-size image. We have evaluated the proposed method for enlarging an image uniformly and it compares with the typical of image enlargement methods. The uniform image enlarged and image enlarged in different ratio using the proposed method have been presented. |
topic |
Image enlargement Inpainting Window kernel |
url |
https://doi.org/10.1051/matecconf/201816401014 |
work_keys_str_mv |
AT somawirataikomang uniformandnonuniformimageenlargementbasedonthewindowkernel AT priohartonobambang uniformandnonuniformimageenlargementbasedonthewindowkernel AT herbasukiteguh uniformandnonuniformimageenlargementbasedonthewindowkernel AT soetedjoaryuato uniformandnonuniformimageenlargementbasedonthewindowkernel |
_version_ |
1724301938611191808 |