一种基于子图像接缝合并的快速缝刻方法

F. Yaghmaee, A. A. Gharahbagh
{"title":"一种基于子图像接缝合并的快速缝刻方法","authors":"F. Yaghmaee, A. A. Gharahbagh","doi":"10.1109/IRANIANMVIP.2013.6780029","DOIUrl":null,"url":null,"abstract":"Display devices based on its different screens and resolutions, need image resizing to retain the image's quality. Common image resizing methods cannot save or protect important objects or its results are non-photorealistic. Seam carving as a new method has been widely used for content-aware image and video resizing with little distortion in comparison with common methods. Unfortunately, seam carving is a complex algorithm and for high resolution videos or images has a long run time and is not usable in real-time applications. In this paper, a novel fast method in order to accelerate simple seam carving and decrease computational burden is presented. In this method image is divided into three equal horizontal or vertical sections, while the traditional seam carving is applied to the middle section. In the top and down sections, the algorithm estimates seam with respect to the middle part seam using an approximated Dijkstra method. Experiments have demonstrated better computational efficiency of presented method when it faces the current seam carving method. It is also preserving the image's information as effectively as the original seam carving method.","PeriodicalId":297204,"journal":{"name":"2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A fast seam carving method based on merging seams in subimages\",\"authors\":\"F. Yaghmaee, A. A. Gharahbagh\",\"doi\":\"10.1109/IRANIANMVIP.2013.6780029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Display devices based on its different screens and resolutions, need image resizing to retain the image's quality. Common image resizing methods cannot save or protect important objects or its results are non-photorealistic. Seam carving as a new method has been widely used for content-aware image and video resizing with little distortion in comparison with common methods. Unfortunately, seam carving is a complex algorithm and for high resolution videos or images has a long run time and is not usable in real-time applications. In this paper, a novel fast method in order to accelerate simple seam carving and decrease computational burden is presented. In this method image is divided into three equal horizontal or vertical sections, while the traditional seam carving is applied to the middle section. In the top and down sections, the algorithm estimates seam with respect to the middle part seam using an approximated Dijkstra method. Experiments have demonstrated better computational efficiency of presented method when it faces the current seam carving method. It is also preserving the image's information as effectively as the original seam carving method.\",\"PeriodicalId\":297204,\"journal\":{\"name\":\"2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRANIANMVIP.2013.6780029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANMVIP.2013.6780029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

显示设备根据其不同的屏幕和分辨率,需要调整图像大小以保持图像的质量。常用的图像调整方法不能保存或保护重要对象,或者其结果不真实。接缝雕刻作为一种新的方法,在内容感知图像和视频的调整中得到了广泛的应用,与常用的方法相比,它具有较小的失真。不幸的是,接缝雕刻是一个复杂的算法,对于高分辨率的视频或图像有很长的运行时间,不能用于实时应用。本文提出了一种新的快速切缝方法,以加快简单的切缝速度,减少计算量。在这种方法中,图像被分成三个相等的水平或垂直部分,而传统的接缝雕刻应用于中间部分。在上、下两段,采用近似的Dijkstra法对中部煤层进行估计。实验结果表明,该方法在面对现有的切缝方法时具有较好的计算效率。该方法与原有的缝刻方法一样有效地保留了图像的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast seam carving method based on merging seams in subimages
Display devices based on its different screens and resolutions, need image resizing to retain the image's quality. Common image resizing methods cannot save or protect important objects or its results are non-photorealistic. Seam carving as a new method has been widely used for content-aware image and video resizing with little distortion in comparison with common methods. Unfortunately, seam carving is a complex algorithm and for high resolution videos or images has a long run time and is not usable in real-time applications. In this paper, a novel fast method in order to accelerate simple seam carving and decrease computational burden is presented. In this method image is divided into three equal horizontal or vertical sections, while the traditional seam carving is applied to the middle section. In the top and down sections, the algorithm estimates seam with respect to the middle part seam using an approximated Dijkstra method. Experiments have demonstrated better computational efficiency of presented method when it faces the current seam carving method. It is also preserving the image's information as effectively as the original seam carving method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信