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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Format: | Article |
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Editorial Department of Journal on Communications
2017-06-01
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Series: | Tongxin xuebao |
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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. |
format | Article |
id | doaj-art-054cde8a64ae4eed8e1a394b4afffc9d |
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 |