Content-aware image resizing based on random-carving with probability

To improve the running speed of image resizing,a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability.Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map.Then the image thre...

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Main Authors: Ying-chun GUO, Jun-teng HOU, Ming YU, Rui-li WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017127/
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author Ying-chun GUO
Jun-teng HOU
Ming YU
Rui-li WANG
author_facet Ying-chun GUO
Jun-teng HOU
Ming YU
Rui-li WANG
author_sort Ying-chun GUO
collection DOAJ
description To improve the running speed of image resizing,a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability.Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map.Then the image threshold value was obtained by radial basis function (RBF) neural network learning.And by the threshold,the original image was separated into the protected part and the unprotected part which was corresponding to the important part and the unimportant part of the original image individually.Finally,the two parts were allocated different resizing scales and the random-carving with probability was applied to them respectively.Experiments results show that the proposed algorithm has lower time cost comparing to the state-of-arts algorithms in MSRA image database,and has a better visual perception on image resizing.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2017-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-054cde8a64ae4eed8e1a394b4afffc9d2025-01-14T07:12:09ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-06-0138303859709488Content-aware image resizing based on random-carving with probabilityYing-chun GUOJun-teng HOUMing YURui-li WANGTo improve the running speed of image resizing,a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability.Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map.Then the image threshold value was obtained by radial basis function (RBF) neural network learning.And by the threshold,the original image was separated into the protected part and the unprotected part which was corresponding to the important part and the unimportant part of the original image individually.Finally,the two parts were allocated different resizing scales and the random-carving with probability was applied to them respectively.Experiments results show that the proposed algorithm has lower time cost comparing to the state-of-arts algorithms in MSRA image database,and has a better visual perception on image resizing.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017127/threshold learningradial basis functionrandom-carving with probabilityrapid content-aware image resizing
spellingShingle Ying-chun GUO
Jun-teng HOU
Ming YU
Rui-li WANG
Content-aware image resizing based on random-carving with probability
Tongxin xuebao
threshold learning
radial basis function
random-carving with probability
rapid content-aware image resizing
title Content-aware image resizing based on random-carving with probability
title_full Content-aware image resizing based on random-carving with probability
title_fullStr Content-aware image resizing based on random-carving with probability
title_full_unstemmed Content-aware image resizing based on random-carving with probability
title_short Content-aware image resizing based on random-carving with probability
title_sort content aware image resizing based on random carving with probability
topic threshold learning
radial basis function
random-carving with probability
rapid content-aware image resizing
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017127/
work_keys_str_mv AT yingchunguo contentawareimageresizingbasedonrandomcarvingwithprobability
AT juntenghou contentawareimageresizingbasedonrandomcarvingwithprobability
AT mingyu contentawareimageresizingbasedonrandomcarvingwithprobability
AT ruiliwang contentawareimageresizingbasedonrandomcarvingwithprobability