中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 会议论文
Title:
Image enlargement by patch-based seam synthesis
Author: Wang, Qi (1) ; Liu, Zhengzhe (1) ; Li, Chen (1) ; Sheng, Bin (1)
Conference Name: 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Conference Date: October 29, 2013 - November 1, 2013
Issued Date: 2013
Conference Place: Kaohsiung, Taiwan
Publish Place: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
Indexed Type: EI
ISBN: 9789869000604
Department: (1) Shanghai Jiao Tong University, Shanghai 200240, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China
Abstract: Numerous approaches can be utilized for image enlargement, among them seam-carving, texture-synthesis, linear scaling and warping are commonly used. However, all of these methods have their disadvantages. In this paper, we propose a new image enlargement method inspired from seam-carving and texture synthesis, called Patch-Based Seam Synthesis. Our algorithm fully utilizes the texture information of an image and thus is a content-based method. The procedure of this new method is described as follows. Firstly, we use a set of Difference of Gaussian (DOG) and Difference of Offset Gaussian (DOOG) filters to extract the texture features of the image. Secondly, we use the Histogram Shape-Based Image Thresholding to divide the image into texture regions and non-texture regions. Thirdly, we find the energy map of the image based on the energy function and determine the minimal-energy seams, the 8-connected paths crossing the whole image, either vertically or horizontally. Finally, we use patch-based synthesis combined with image quilting algorithm to fill in the parts of the seams that are in the texture regions and linear interpolation to smooth the parts that lie in non-texture regions. © 2013 APSIPA.
English Abstract: Numerous approaches can be utilized for image enlargement, among them seam-carving, texture-synthesis, linear scaling and warping are commonly used. However, all of these methods have their disadvantages. In this paper, we propose a new image enlargement method inspired from seam-carving and texture synthesis, called Patch-Based Seam Synthesis. Our algorithm fully utilizes the texture information of an image and thus is a content-based method. The procedure of this new method is described as follows. Firstly, we use a set of Difference of Gaussian (DOG) and Difference of Offset Gaussian (DOOG) filters to extract the texture features of the image. Secondly, we use the Histogram Shape-Based Image Thresholding to divide the image into texture regions and non-texture regions. Thirdly, we find the energy map of the image based on the energy function and determine the minimal-energy seams, the 8-connected paths crossing the whole image, either vertically or horizontally. Finally, we use patch-based synthesis combined with image quilting algorithm to fill in the parts of the seams that are in the texture regions and linear interpolation to smooth the parts that lie in non-texture regions. © 2013 APSIPA.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16666
Appears in Collections:软件所图书馆_会议论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Wang, Qi ,Liu, Zhengzhe ,Li, Chen ,et al. Image enlargement by patch-based seam synthesis[C]. 见:2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013. Kaohsiung, Taiwan. October 29, 2013 - November 1, 2013.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Wang, Qi (1)]'s Articles
[Liu, Zhengzhe (1)]'s Articles
[Li, Chen (1)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Wang, Qi (1)]‘s Articles
[Liu, Zhengzhe (1)]‘s Articles
[Li, Chen (1)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2019  中国科学院软件研究所 - Feedback
Powered by CSpace